gong_get_call_details

Retrieve call analytics, topics, and participant details from Gong

READ

gong_get_call_details

Retrieves comprehensive call analytics and metadata from Gong. Use this tool to understand call dynamics, topics, and speaker participation before retrieving full transcripts.

Get a high-level overview of call content and structure without downloading the full transcript. Perfect for filtering calls before mind creation or analyzing call patterns.

Prerequisites

Gong Integration Required

This tool requires Gong integration to be configured. See the Gong Setup Guide for configuration instructions.

Parameters

callId

Type	string
Required	Yes
Description	The unique call identifier from `gong_list_calls` response
Example	`call_abc123`

Request

1 {
2   "callId": "call_abc123"
3 }

Response

1 {
2   "callId": "call_abc123",
3   "title": "Discovery Call - Enterprise Prospect",
4   "date": "2024-11-15T14:30:00Z",
5   "duration": 3600,
6   "participants": [
7     {
8       "name": "Mike Chen",
9       "email": "mike.chen@yourcompany.com",
10       "role": "internal",
11       "speakingTime": 1200,
12       "wordCount": 2400,
13       "talkRatio": 0.33
14     },
15     {
16       "name": "Sarah Johnson",
17       "email": "sarah.johnson@prospect.com",
18       "role": "prospect",
19       "speakingTime": 2400,
20       "wordCount": 4800,
21       "talkRatio": 0.67
22     }
23   ],
24   "topics": [
25     {
26       "name": "Onboarding Challenges",
27       "mentions": 12,
28       "duration": 900
29     },
30     {
31       "name": "Pricing Discussion",
32       "mentions": 8,
33       "duration": 600
34     },
35     {
36       "name": "Integration Requirements",
37       "mentions": 5,
38       "duration": 450
39     }
40   ],
41   "structure": {
42     "phases": [
43       {
44         "name": "Introduction",
45         "startTime": "00:00:00",
46         "duration": 300
47       },
48       {
49         "name": "Discovery",
50         "startTime": "00:05:00",
51         "duration": 1800
52       },
53       {
54         "name": "Solution Discussion",
55         "startTime": "00:35:00",
56         "duration": 1200
57       },
58       {
59         "name": "Next Steps",
60         "startTime": "00:55:00",
61         "duration": 300
62       }
63     ]
64   }
65 }

Response Properties

Property	Type	Description
`callId`	string	The call identifier
`title`	string	Call title from Gong
`date`	string	ISO 8601 timestamp of the call
`duration`	number	Total call duration in seconds
`participants`	array	Array of participant objects with analytics
`participants[].name`	string	Participant’s full name
`participants[].email`	string	Participant’s email address
`participants[].role`	string	`"internal"` or `"prospect"`
`participants[].speakingTime`	number	Total speaking time in seconds
`participants[].wordCount`	number	Total words spoken
`participants[].talkRatio`	number	Percentage of total speaking time (0-1)
`topics`	array	Topics discussed during the call
`topics[].name`	string	Topic name identified by Gong
`topics[].mentions`	number	Number of times topic was mentioned
`topics[].duration`	number	Total time discussing this topic (seconds)
`structure`	object	Call structure and phases
`structure.phases`	array	Chronological phases of the call
`structure.phases[].name`	string	Phase name (e.g., “Discovery”, “Pricing”)
`structure.phases[].startTime`	string	Start timestamp (HH:MM:SS)
`structure.phases[].duration`	number	Phase duration in seconds

Common Use Cases

Filter Calls Before Transcript Retrieval

Review call topics and participants to decide which calls warrant full transcript retrieval.

Example:

"Get details on my last 10 calls and show me which ones
 discussed pricing objections"

Natural language workflow:

AI lists recent calls
Gets details for each call
Filters to those with pricing-related topics
Presents filtered list for transcript retrieval

What you get:

Topic-based filtering
Avoid downloading irrelevant transcripts
Focus on high-value conversations
Efficient use of API calls

Analyze Speaker Participation

Understand speaker dynamics before creating minds.

Example:

"Show me the talk ratios for all participants in
 my enterprise calls this month"

Natural language workflow:

Lists enterprise calls
Gets details for each
Analyzes speaker statistics
Identifies participation patterns

What you get:

Speaker engagement metrics
Talk time distribution
Identify dominant vs. quiet participants
Select balanced conversations for training

Topic Analysis Across Calls

Identify recurring topics and themes across multiple calls.

Example:

"Analyze my discovery calls from Q4 and tell me what
 topics came up most frequently"

Natural language workflow:

Lists Q4 discovery calls
Gets details for each call
Aggregates topic mentions
Ranks by frequency

What you get:

Topic frequency analysis
Common pain points
Recurring objections
Product feature requests

Call Quality Assessment

Evaluate call structure and flow before using for training.

Example:

"Find calls where the discovery phase lasted more than
 20 minutes and the prospect spoke more than 60% of the time"

Natural language workflow:

Lists calls
Gets details for each
Filters by structure and talk ratio criteria
Returns qualifying calls

What you get:

High-quality discovery calls
Prospect-centric conversations
Ideal training data for minds
Best practice examples

Error Responses

404 Not Found

1 {
2   "error": "Not Found",
3   "message": "Call with ID 'call_abc123' does not exist"
4 }

Solution: Verify the call ID is correct. Use gong_list_calls to get valid call IDs.

401 Unauthorized

1 {
2   "error": "Unauthorized",
3   "message": "Gong authentication failed"
4 }

Solution: Verify your Gong credentials are configured correctly.

403 Forbidden

1 {
2   "error": "Forbidden",
3   "message": "You do not have permission to access this call"
4 }

Solution: Check your Gong user permissions for this call.

400 Details Not Available

1 {
2   "error": "Bad Request",
3   "message": "Call details not yet available"
4 }

Solution: The call may still be processing. Wait and retry.

Best Practices

Pre-Filter Before Transcripts

Use call details to filter calls before retrieving full transcripts
Check topics to ensure relevance
Review speaker participation for balance
Verify call duration and structure

Topic-Based Selection

Identify calls discussing specific topics
Find recurring themes across calls
Select calls for topic-specific mind training
Track topic evolution over time

Speaker Analysis

Use talk ratios to find balanced conversations
Identify calls where prospects were engaged
Find calls with specific participants
Select diverse speaking styles for training

Integration with Mind Reasoner

Workflow: Topic-Based Mind Creation

List Calls

Use gong_list_calls to get recent calls

Get Details

Use gong_get_call_details to analyze topics and participants

Filter

Select calls discussing relevant topics with engaged prospects

Get Transcripts

Retrieve full transcripts only for selected calls

Create Minds

Build minds from filtered, high-quality conversations

Natural language example:

"Find all my calls where we discussed enterprise features,
 the prospect spoke more than 50% of the time, and create
 minds for each engaged prospect"

1	{
2	"callId": "call_abc123",
3	"title": "Discovery Call - Enterprise Prospect",
4	"date": "2024-11-15T14:30:00Z",
5	"duration": 3600,
6	"participants": [
7	{
8	"name": "Mike Chen",
9	"email": "mike.chen@yourcompany.com",
10	"role": "internal",
11	"speakingTime": 1200,
12	"wordCount": 2400,
13	"talkRatio": 0.33
14	},
15	{
16	"name": "Sarah Johnson",
17	"email": "sarah.johnson@prospect.com",
18	"role": "prospect",
19	"speakingTime": 2400,
20	"wordCount": 4800,
21	"talkRatio": 0.67
22	}
23	],
24	"topics": [
25	{
26	"name": "Onboarding Challenges",
27	"mentions": 12,
28	"duration": 900
29	},
30	{
31	"name": "Pricing Discussion",
32	"mentions": 8,
33	"duration": 600
34	},
35	{
36	"name": "Integration Requirements",
37	"mentions": 5,
38	"duration": 450
39	}
40	],
41	"structure": {
42	"phases": [
43	{
44	"name": "Introduction",
45	"startTime": "00:00:00",
46	"duration": 300
47	},
48	{
49	"name": "Discovery",
50	"startTime": "00:05:00",
51	"duration": 1800
52	},
53	{
54	"name": "Solution Discussion",
55	"startTime": "00:35:00",
56	"duration": 1200
57	},
58	{
59	"name": "Next Steps",
60	"startTime": "00:55:00",
61	"duration": 300
62	}
63	]
64	}
65	}

1	{
2	"error": "Not Found",
3	"message": "Call with ID 'call_abc123' does not exist"
4	}

1	{
2	"error": "Unauthorized",
3	"message": "Gong authentication failed"
4	}

1	{
2	"error": "Forbidden",
3	"message": "You do not have permission to access this call"
4	}

1	{
2	"error": "Bad Request",
3	"message": "Call details not yet available"
4	}

gong_get_call_details

Prerequisites

Gong Integration Required

Parameters

callId

Request

Response

Response Properties

Common Use Cases

Filter Calls Before Transcript Retrieval

Analyze Speaker Participation

Topic Analysis Across Calls

Call Quality Assessment

Error Responses

404 Not Found

401 Unauthorized

403 Forbidden

400 Details Not Available

Best Practices

Pre-Filter Before Transcripts

Topic-Based Selection

Speaker Analysis

Integration with Mind Reasoner

Workflow: Topic-Based Mind Creation

List Calls

Get Details

Filter

Get Transcripts

Create Minds

See Also

gong_get_call_details

Prerequisites

Gong Integration Required

Parameters

callId

Request

Response

Response Properties

Common Use Cases

Filter Calls Before Transcript Retrieval

Analyze Speaker Participation

Topic Analysis Across Calls

Call Quality Assessment

Error Responses

404 Not Found

401 Unauthorized

403 Forbidden

400 Details Not Available

Best Practices

Pre-Filter Before Transcripts

Topic-Based Selection

Speaker Analysis

Integration with Mind Reasoner

Workflow: Topic-Based Mind Creation

List Calls

Get Details

Filter

Get Transcripts

Create Minds

See Also