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search_transcripts

Read-onlyIdempotent

Find transcripts in the signed-in person's library, filtered by folder, tag, workspace, status or filename, newest first. This is where the transcription ids that tag_transcriptions, move_to_folder, get_transcript_audio, chat_with_transcript and run_automation need come from — start here. NOT the same as list_transcriptions, which takes an API key and lists metered API jobs instead. Read-only. Requires an OAuth 2.1 user access token.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagNoOnly transcripts carrying this exact tag.
limitNoRows to return, 1-200. Default 50.
queryNoMatch against the original filename.
offsetNoRows to skip — pass next_offset from a previous call.
statusNoFilter by status. Most tools here need "completed".
folder_idNoOnly transcripts in this folder, or null for those in no folder.
workspace_idNoRestrict to one workspace.

TDQS

A4.7/5.0
Behavior5/5

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

Beyond the annotations, the description adds that this operates on the signed-in person's library, returns results newest first, is read-only, and requires an OAuth 2.1 user access token. This is valuable context about data scope, ordering, and authentication that is not present in the annotations or schema.

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?

The description is information-dense but efficient: purpose and filters are front-loaded, followed by practical routing guidance, a sibling distinction, and the auth requirement. Every sentence earns its place and no content is redundant with the schema or annotations.

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?

Given the full schema coverage, the read-only/idempotent annotations, and the explicit note that the returned transcription IDs feed several sibling tools, the description covers everything an agent needs to select and call this tool correctly. The absence of an output schema is mitigated by the clear statement that this is the source for transcription IDs and by the mention of newest-first ordering.

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 100%, so the baseline is 3. The description mentions the filter categories ('folder, tag, workspace, status or filename') but does not add meaning beyond what the schema already provides for each parameter. It correctly implies the query parameter matches filenames, but the schema already says this.

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 uses a specific verb and resource: 'Find transcripts in the signed-in person's library,' and enumerates the filtering dimensions. It also explicitly differentiates itself from list_transcriptions by stating what that sibling does instead. This leaves no ambiguity about the tool's role.

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

Usage Guidelines5/5

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

It explicitly says this is where transcription IDs for several named sibling tools should come from ('start here'), giving concrete when-to-use guidance. It also provides a when-not-to-use case by explaining that list_transcriptions is a different API-key-based operation for metered jobs.

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

A3.8/5.0
Disambiguation3/5

The set contains several near-neighbor groups: deprecated aliases duplicate live tools, and docs/billing/financial tools have fuzzy boundaries. Individual descriptions are detailed and resolve most collisions, but matching the right tool among 39 still requires care.

Naming Consistency3/5

Most tools follow a sensible verb_object style, but the transcribe_* group is inconsistent: transcribe_url/transcribe_upload are verb_object, while transcribe_status/transcribe_cancel/transcribe_delete are really status/cancel/delete operations renamed with a transcribe prefix. The deprecated transcription_status/transcription_url aliases add another naming convention, so the pattern is not reliable across the set.

Tool Count2/5

39 tools is well over the 25+ threshold and creates an overwhelmingly broad surface spanning account management, billing, docs, API jobs, library organization, meeting bots, and automations. Two deprecated duplicates inflate the count further. This would be more coherent split into separate servers or at least pruned of deprecated aliases.

Completeness3/5

Core API transcription lifecycle is covered, and the library/meeting-bot flows have search, tagging, moving, and audio retrieval. However, there is no user-library deletion/rename, no OAuth-side full-transcript access, local upload is non-functional over the hosted endpoint, and webhook management is documented but not exposed as tools. These gaps force agents to work around missing operations.