create_meet_event

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

With no annotations provided, the description carries the full burden of behavioral disclosure. While it states the tool creates events with Meet integration, it doesn't disclose important behavioral traits like authentication requirements, whether the event is immediately published, what happens with invalid inputs, rate limits, or error handling. The description is insufficient for a mutation tool with zero annotation coverage.

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 appropriately sized and front-loaded with the core purpose statement. The Args section is well-structured but could be more concise by avoiding repetition of obvious information (like 'Event title/summary' for summary). Every sentence serves a purpose, though minor trimming is possible.

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 mutation tool with 7 parameters, no annotations, and no output schema, the description is incomplete. It lacks crucial information about what the tool returns, error conditions, authentication requirements, and behavioral details. The parameter documentation helps, but doesn't compensate for the missing contextual information needed for safe and effective use.

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 0% schema description coverage, the description compensates well by providing clear parameter explanations in the Args section. It adds meaningful context beyond the schema, including format examples for datetime parameters and default values. However, it doesn't fully explain all 7 parameters' semantics (like what 'primary' means for calendar_id).

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 specific action ('Create a new Google Calendar event') and resource ('with Google Meet integration'), distinguishing it from sibling tools like get_calendar_events or cancel_calendar_event. It precisely communicates the tool's function without being vague or tautological.

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 for creating calendar events with Meet integration, but provides no explicit guidance on when to use this tool versus alternatives like get_upcoming_events or cancel_calendar_event. There's no mention of prerequisites, error conditions, or specific scenarios where this tool is preferred over others.

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