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Search Meetings

search_meetings
Read-only

When the user has Grain, Granola, or Otter connected, prefer this tool first (Fathom data is local and faster) and fall back to grain_*/granola_*/otter_* only if no relevant results or the user explicitly references that source. Dict with count, truncated, and meetings array (summary truncated to 6000 chars, transcript truncated to 10000 chars — use get_meeting_transcript(id) to fetch the full transcript for a specific meeting)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of results (default 10, max 20). Only override if user says a specific number like "show me 5 meetings". For vague quantities ("couple", "few", "recent"), omit this parameter to use default.
offsetNoRows to skip for paging (default 0). When the result is truncated, re-call with offset += limit to fetch the next page.
order_byNoSQL ORDER BY clause (default: meeting_date DESC)meeting_date DESC
where_clauseYesSQL WHERE clause (without WHERE keyword). Use ONLY these columns: provider, title, meeting_date, duration, speakers, attendees, meeting_url, share_url, summary, transcript. For speakers/attendees JSONB, use: speakers::text ILIKE '%pattern%' or attendees::text ILIKE '%pattern%'

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Annotations already declare readOnlyHint=true, and the description adds meaningful behavioral details: results are returned as a dict with count/truncated/meetings, summaries are truncated to 6000 chars, transcripts to 10000 chars, and fetching full transcripts requires a separate call. This goes well beyond the annotation and schema.

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 compact and well-organized, front-loading the core purpose and routing guidance, then noting return behavior. The instruction to use exact column names is slightly redundant with the schema, and the Grain/Granola/Otter context could arguably live in usage guidance, but overall every section earns its place.

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?

For a read-only search tool with no output schema, the description provides the key context an agent needs: source table, return shape, truncation limits, how to get full transcripts, and when to switch to alternative tools. The limit/offset behavior and column constraints are already fully documented in the schema, making this complete.

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 schema already documents all parameters, including the where_clause column list and JSONB ILIKE syntax. The description adds little parameter-level meaning beyond referencing 'exact column names listed under where_clause', so the baseline of 3 is appropriate.

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 states a specific action ('Search user's meeting data from table_meeting_data') with a clear resource and scope. It also differentiates from related meeting-source tools by explaining when to prefer this tool over grain_*/granola_*/otter_*, so an agent can select it correctly among siblings.

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?

Usage guidance is explicit: prefer this tool first when Grain/Granola/Otter are connected, and fall back to sibling source tools only when no relevant results appear or the user names that source. It also directs the agent to get_meeting_transcript(id) for full transcripts, covering the key alternative.

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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