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get_transcripts

Read-only

[content_fetch] Verbatim transcript of ONE recording by conversation_id. Paginated (offset / next_offset) — page through for more.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
offsetNo
conversation_idNorequired; opaque id string (may be 19-digit snowflake)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
toolYes
resultYesTool-specific result payload; shape varies per tool (object for most; may be null/array/text for some). Intentionally type-unconstrained for strict-validating clients.
took_msNo

TDQS

A4.2/5.0
Behavior4/5

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

Annotations declare readOnlyHint=true and destructiveHint=false, confirming safe read. Description adds 'content_fetch' tag, pagination behavior, and that it returns verbatim transcripts. No contradictions.

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 succinct sentences. Every word adds value: tool purpose, pagination indicator, and source tag. No redundancy.

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?

Given output schema exists, description adequately covers return type (verbatim transcript) and pagination. Missing detail on next_offset format but sufficient for invocation.

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 50% (only conversation_id described). Description compensates by explaining offset is for pagination ('page through') and conversation_id identifies the recording. Adds key meaning beyond schema.

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 clearly states it fetches 'Verbatim transcript of ONE recording by conversation_id'. This distinguishes from siblings like get_transcripts_by_participant which filters by participant.

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

Usage Guidelines3/5

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

The description implies usage for single recording transcript retrieval but lacks explicit guidance on when not to use or alternatives. No context provided for selecting among siblings.

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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TDQS

A4/5.0
Disambiguation5/5

Each tool targets a distinct aspect: metadata, content types (brief, summary, transcript), filtered transcript, listing, and search. No two tools overlap in purpose.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern using snake_case (get_*, list_*, search_*), making their actions predictable.

Tool Count5/5

Seven tools cover the retrieval scope without being too many or too few; each serves a clear function in the conversation management domain.

Completeness3/5

The server lacks direct fetchers for several result types from search (e.g., memory_atoms, segments, action_items), creating dead ends for agents that need to retrieve those details.

Resources