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enrich_meeting_with_crossrefs

Adds cross-references to a saved meeting by extracting key topics and matching them with open tasks, related papers, and active projects. The resulting brief is written to the meeting's notes.

Instructions

Find cross-references for a saved meeting: open tasks, related papers, active projects.

Call this after saving a meeting transcript (via Meetings tab or
transcribe_recording()). It extracts key topics from the transcript,
matches them against tasks, library papers, and active projects, and
returns a structured cross-reference brief.

The result is also written to the meeting's notes field in the database
so it appears in the Meetings tab.

Args:
    meeting_id: The meeting_id from the meetings table.

Returns:
    Formatted cross-reference brief listing matched tasks, papers, and projects.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
meeting_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

No annotations exist, so description fully shoulders behavioral disclosure. It explicitly states a side effect: 'The result is also written to the meeting's notes field in the database'. It also describes the return format. 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?

The description is well-structured with a concise main sentence, followed by context, Args, and Returns sections. Every sentence adds value, and there is no redundant information.

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 simple tool with one parameter and no output schema needed (output is described as 'Formatted cross-reference brief'), the description covers preconditions (after saving transcript), side effects, and output. It is complete given the tool's complexity.

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 0%, but the description adds meaning by explaining that meeting_id is 'from the meetings table' and that it will extract key topics from the transcript. This provides context beyond the schema's simple 'Meeting Id' title.

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 clearly states the verb 'Find cross-references' and specifies the resource as 'a saved meeting' with explicit types: tasks, papers, projects. It distinguishes from sibling tools like transcribe_recording by indicating it is called after saving.

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?

Provides explicit guidance: 'Call this after saving a meeting transcript (via Meetings tab or transcribe_recording())'. It gives context on when to use the tool but does not explicitly state when not to use it or list alternative cross-referencing tools.

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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