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speakai

Speak AI MCP Server

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by speakai

Search Media Library

search_media
Read-onlyIdempotent

Search across media transcripts, insights, and metadata to find specific topics, keywords, or themes. Filter results by media type, folder, tags, or speakers, with date range scoping.

Instructions

Deep search across all media transcripts, insights, and metadata. Returns matching media with sentiment data, tags, and content excerpts. Use this to find specific topics, keywords, or themes across your entire library. For filtering by media type, folder, tags, or speakers, use the filterList parameter. Results are scoped by date range — defaults to current year if not specified.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query — searches across transcripts, insights, and metadata
endDateNoEnd date for search range (ISO 8601). Defaults to now.
startDateNoStart date for search range (ISO 8601). Defaults to start of current year.
filterListNoAdvanced filters for narrowing search results by tags, speakers, media type, sentiment, folder, etc.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNoResponse payload from the Speak AI API
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. Description adds useful default date range scoping ('defaults to current year'). 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?

Three sentences: purpose/return, use case, additional parameters. No wasted words, front-loaded with key info.

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?

Describes return values (sentiment, tags, excerpts), date scoping, and filterList usage. With output schema present, this is sufficiently complete for a search tool.

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%, baseline 3. Description adds context for filterList (filtering by media type, folder, tags, speakers) and date defaults, adding value 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 uses specific verb 'search' across 'media transcripts, insights, and metadata', clearly distinguishing it from sibling tools like list_media. It also states returns include sentiment data, tags, and content excerpts.

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?

Explicitly says 'Use this to find specific topics, keywords, or themes' and mentions filterList for narrowing. Could be more explicit about when not to use, but clear context is provided.

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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