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forayconsulting

Zoom Transcript MCP Server

get_recent_transcripts

Download transcripts from recent Zoom meetings by fetching them from the Zoom cloud API. Specify the number of meetings to retrieve for access to meeting records.

Instructions

Get and download transcripts from recent Zoom meetings. This tool will access the Zoom cloud API to fetch and download recent meeting transcripts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoNumber of recent meetings to fetch (default: 5)
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions accessing the Zoom cloud API and fetching/downloading, but lacks critical behavioral details: whether this requires authentication, rate limits, what 'recent' means (timeframe), if it downloads to a specific location, error handling, or output format. The description is too vague for a tool that interacts with external APIs and performs downloads.

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?

The description is appropriately concise with two sentences that directly state the tool's action and method. It's front-loaded with the core purpose. However, the second sentence is somewhat redundant ('access...to fetch and download' repeats the action), and it could be more structured by separating behavioral details.

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

Completeness2/5

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

Given the complexity (API interaction, downloads, no output schema, and no annotations), the description is incomplete. It doesn't cover authentication needs, output format (e.g., file paths or data structure), error cases, or how 'recent' is defined. For a tool that fetches and downloads data from an external service, this leaves significant gaps for an AI agent to use it correctly.

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?

The input schema has 100% description coverage, with the 'count' parameter well-documented (type, range, default). The description adds no additional parameter semantics beyond what's in the schema—it doesn't explain how 'count' interacts with 'recent' or clarify any other implicit parameters. With high schema coverage, the baseline is 3, and the description doesn't compensate with extra insights.

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?

The description clearly states the tool's purpose: 'Get and download transcripts from recent Zoom meetings' with the specific action 'access the Zoom cloud API to fetch and download.' It distinguishes from siblings like 'check_local_transcripts' (local vs cloud) and 'download_transcript' (specific vs recent), but doesn't explicitly mention these distinctions. The purpose is clear but sibling differentiation is implied rather than explicit.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention when to choose this over 'list_meetings' (which might list meetings without transcripts) or 'search_transcripts' (which might search across all transcripts). There's no context about prerequisites, such as needing Zoom cloud access or recent meetings having available transcripts.

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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