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Data Parrot AI Revenue Analyst for HubSpot

Read Transcript

get_transcript
Read-onlyIdempotent

Read the recorded conversation behind a meeting or call, including buyer statements, objections, decisions, and next steps. Requires an exact transcript_id returned by get_engagements. Returns speaker turns with timecodes elapsed from recording start. If data.scope.has_more is true, continue with cursor=data.scope.next_cursor.

Input Schema

NameRequiredDescriptionDefault
cursorNoOpaque next_cursor from an earlier get_transcript response.
transcript_idYesExact transcript_id from a meeting or call row.

Output Schema

NameRequiredDescriptionDefault
dataYes
kindYes
toolYes
summaryYes
result_idNo
limitationsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.5/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful behavior beyond annotations by specifying speaker-turn timecodes and cursor-based continuation when data.scope.has_more is true.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences, front-loaded with the core purpose, then prerequisites, then pagination guidance. Every sentence contributes useful operational information without repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is a read-only transcript retrieval operation with full schema coverage, annotations covering safety, and an output schema. The description supplies the key remaining context: source of transcript_id, returned content shape, and pagination behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3. The description still adds meaning by tying transcript_id to get_engagements and by explaining that cursor should be used with data.scope.next_cursor when more data exists.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: reading the recorded conversation behind a meeting or call. It also names the substantive content returned (buyer statements, objections, decisions, next steps), making the tool clearly distinguishable from siblings like get_engagements.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives a clear prerequisite: the transcript_id must come from get_engagements, and it explains the pagination condition using data.scope.has_more and data.scope.next_cursor. It does not explicitly name when not to use the tool or alternative tools, but the usage context is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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