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Get transcript

get_transcript
Read-onlyIdempotent

Fetch the full text of one of the user's transcripts or translations by its id, as returned by list_transcripts or search_transcripts. Use this once you know which one you need, to answer questions about it, quote it, summarise it or draft from it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
transcript_idYesThe id, from list_transcripts or search_transcripts.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is covered. The description usefully adds that the return is the full text (as opposed to a summary), but says nothing about size limits, truncation, or pagination for what could be a long document, which is a real gap for a full-text fetch.

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?

Two sentences, no filler, and the core purpose and its prerequisite are front-loaded before the use-case list. Every clause earns its place.

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

Completeness4/5

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

With one required parameter, no output schema and full schema coverage, the description covers the essentials: what is returned and when to call it. The only missing piece is behaviour for large transcripts (truncation or length limits), which matters somewhat for a full-text tool.

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

Parameters3/5

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

Schema coverage is 100% and the single parameter's own description already says the id comes from list_transcripts or search_transcripts, so the description repeats rather than extends it. Baseline 3 is appropriate when the schema does all the work.

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

Purpose4/5

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

States a specific verb ('Fetch') and resource ('the full text of one of the user's transcripts or translations') with the lookup key ('by its id'). 'Full text' implicitly distinguishes it from the get_transcript_summary sibling, but that alternative is never named, so the differentiation is left to inference.

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?

Gives clear triggering context: use it once you know which transcript you need, to answer questions, quote, summarise or draft. It names list_transcripts/search_transcripts as the prerequisite step, but never states when to prefer get_transcript_summary instead, so no exclusion is provided.

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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