Chat with a meeting

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

With no annotations, the description carries the full burden and does reasonably well: it discloses that answers are grounded in processed-source transcripts, that the return is plain text, and that an empty-source meeting produces an explanatory reply rather than an error. It does not cover persistence of chat history, permissions, or rate limits.

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?

Three short sentences, front-loaded with the purpose and grounding guarantee, and the return format is stated only because no output schema exists. Nothing is redundant.

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?

For a two-parameter, no-annotation, no-output-schema tool, the definition covers purpose, grounding behavior, return type, and the degenerate empty-source case. Only deeper operational details (history persistence, auth) are absent, which is acceptable at this complexity.

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?

Schema description coverage is 100% for both parameters, so the schema already documents 'message' and 'notebook_id' fully. The description adds no syntax, length, or format constraints beyond what the schema provides, so the baseline of 3 applies.

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?

States a specific verb+resource ('ask a question about a meeting') and clarifies the grounding source (processed source transcripts), which distinguishes it from siblings like generate_note. It stops short of explicitly naming which sibling to use when, but the action is unambiguous.

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?

Usage is implied by the phrasing — you use it when you have a question about a meeting — and the no-processed-sources case is called out. However, there is no explicit when-not guidance and no alternative sibling (e.g., get_transcript for raw reads, generate_note for summaries) is named.

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