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stop_meeting_bot

DestructiveIdempotent

Tell a meeting bot that is currently in a call to leave. Whatever it recorded up to that point is still processed into a transcript — this ends the recording, it does not discard it. Identify the bot by transcription_id or job_id from list_scheduled_meetings. Requires an OAuth 2.1 user access token.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idNoThe meeting-bot job id. Either this or transcription_id.
transcription_idNoThe transcription the bot is recording into.

TDQS

A4.6/5.0
Behavior5/5

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

Beyond annotations that mark destructive/idempotent behavior, the description clarifies the exact consequence: recording stops but recorded content is still processed. It also states the auth requirement (OAuth 2.1 user access token), which is context the schema/annotations don't provide. No contradiction with annotations.

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 short sentences, each earning its place: action + non-destructive nuance, source of identifiers, and auth requirement. Key behavioral detail is front-loaded.

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?

For a two-parameter action with annotations and no output schema, the description covers behavior, identifier provenance, and auth. The only small gap is not explicitly stating that exactly one of job_id/transcription_id must be supplied, despite the either/or wording.

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 adds value by explaining the two identifiers are alternatives and that they come from list_scheduled_meetings, which the bare schema doesn't convey. It doesn't fully specify exclusivity/requiredness, hence not a 5.

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 opens with a specific action ('Tell a meeting bot ... to leave') and clearly identifies the resource (bot currently in a call), which distinguishes it from siblings like start_meeting_bot and cancel_scheduled_bot. The scope is unambiguous: a live call, not a scheduled job.

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 specifies the target state ('currently in a call') and tells the agent where to get the identifiers (list_scheduled_meetings). It doesn't explicitly name sibling alternatives or exclusions, but the 'currently in a call' condition makes the use case clear enough.

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.