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Glama

get_transcript

Read a transcript as timestamped lines, optionally filtered by text query. Choose source timing by asset ID or the edited timeline to see only words that survive the edit.

Instructions

Read a transcript as timestamped lines. With asset_id: source time. Without it: the edited timeline (only words that survive the edit). query filters lines containing text.

Input Schema

NameRequiredDescriptionDefault
endNo
queryNo
startNo
projectYes
asset_idNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description must carry the full behavioral burden. It does disclose the non-obvious semantic that the no-asset_id mode returns 'only words that survive the edit', which is valuable. But it is silent on error conditions, whether an un-transcribed project returns empty, and any cost/latency characteristics of reading a full transcript.

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

Conciseness4/5

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

Three short sentences, front-loaded with the action and immediately followed by the mode distinction and the filter behavior. No filler. Slightly telegraphic phrasing ('With asset_id: source time') but nothing wasted.

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?

An output schema exists, so return-value detail is not required, and the description covers the two mode branches and the filter that govern the result set. The remaining gap is the unexplained start/end windowing, which matters for a range-based read on a 5-parameter 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 description coverage is 0%, so the description must compensate. It explains asset_id and query meaningfully (source vs edited timeline, substring filtering), but start and end — two numeric bounds with a default of 0 — get no explanation of units or inclusivity, leaving half the parameters undocumented.

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 and resource ('Read a transcript as timestamped lines') and goes further by describing two distinct output modes tied to asset_id. It is clearly distinguishable from siblings like transcribe or import_transcript, though it never names those alternatives explicitly.

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 a clear conditional: supply asset_id for source-time readings, omit it for the edited timeline. That is genuine when-to-use guidance for the main branch point. It does not, however, say when to prefer this over transcribe/get_timeline or what to do if no transcript exists yet.

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