prepare_for_meeting

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions the optional AI summary generation (requires OpenAI API key) which is useful. However, it doesn't disclose whether this is read-only, whether it mutates any state, whether emails are fetched from a particular scope, or what happens when the OpenAI key is missing despite include_ai_summary defaulting to true. There's no indication of a partial-failure mode.

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 is a compact two-sentence block that front-loads the purpose and then lists the scope in a bullet-free single sentence. It earns its space without padding, though the line breaks between the heading and first sentence add minor structural sloppiness.

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?

This is a moderately complex aggregation tool with an output schema and 100% param coverage. The description covers the breadth of what it gathers, but given the high sibling overlap (get_meeting_context, get_event_details, get_email_summary), it could be more explicit about how it differs from those and the behavioral implications of the AI summary flag failing. It's adequate but not rich.

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 coverage is 100%, so the input schema already documents all four parameters well. The description adds context about AI talking points requiring an API key (complementing include_ai_summary), but doesn't elaborate beyond that. Baseline 3 is appropriate when schema does the heavy lifting, and the description provides modest supplementary value.

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 tool 'Prepares comprehensive context for an upcoming meeting' with a specific verb+resource. It enumerates what it gathers (event details, attendee info, recent emails, related tasks, AI talking points), which differentiates it from siblings like get_event_details and get_meeting_context, though it doesn't explicitly name an alternative tool.

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 this is for preparing for an upcoming meeting, which is a clear context. However, it doesn't explicitly state when NOT to use this tool versus alternatives like get_meeting_context or get_event_details, nor does it mention prerequisites or the relationship to the sibling read tools that overlap in function.

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