Meeting Action Items

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 discloses the AI-powered nature ('Powered by Claude') and specific extraction capabilities, but omits safety traits like whether the operation is read-only, if data is retained, or rate limiting concerns.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description consists of three efficient statements totaling under 25 words. Each sentence earns its place: core functionality, specific extraction capabilities, and implementation context. No redundancy or filler content.

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

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

Given the lack of output schema, the description effectively compensates by detailing the expected return structure (action items, decisions, summary). With 100% input schema coverage and only three parameters, the description provides sufficient context for invocation, though it could benefit from explicit safety disclosures.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 100% schema description coverage, the schema already fully documents all three parameters (notes, format, participants). The description aligns with this information but adds minimal semantic value beyond what the schema explicitly states, meeting the baseline for high-coverage schemas.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb (extract), input resource (meeting notes or transcripts), and specific outputs (action items, decisions, summary, task owners, deadlines, priorities). It effectively distinguishes itself from siblings like 'extract_from_text' (generic) and 'extract_contract_clauses' (legal) by specifying the meeting context.

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

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

The description implies usage context through specificity (meeting-focused), but lacks explicit guidance on when to use this versus 'extract_from_text' for general extraction tasks. No prerequisites or exclusions are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.