meet_v2_list_participant_sessions

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

With no annotations provided, the description carries full burden but offers minimal behavioral insight. It doesn't disclose whether this is a read-only operation, pagination behavior (beyond the schema's page_size), rate limits, authentication needs, or what the output looks like (e.g., session details format). The description only repeats the tool's purpose without adding operational context.

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 single, efficient sentence with zero wasted words. It front-loads the key information (API version, action, target) and avoids redundancy. Every part earns its place by clarifying scope and resource.

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 tool with no annotations, no output schema, and 2 parameters, the description is incomplete. It lacks behavioral details (e.g., read-only nature, pagination), output expectations, and usage guidelines. While the schema covers parameters well, the overall context for an AI agent to correctly invoke this tool is insufficient.

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%, so the schema fully documents both parameters (participant_name format, page_size defaults/limits). The description adds no additional parameter semantics beyond what's in the schema, such as examples or edge cases. Baseline 3 is appropriate when the schema does all the work.

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 action ('List sessions') and target resource ('for a specific participant'), with the API version context ('Meet API v2 GA'). It distinguishes from sibling tools like 'meet_v2_list_participants' by focusing on sessions rather than participants themselves. However, it doesn't explicitly differentiate from 'meet_v2_get_participant_session' (singular vs. plural).

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?

No guidance is provided on when to use this tool versus alternatives. The description doesn't mention prerequisites (e.g., needing a valid participant identifier), exclusions, or comparisons to sibling tools like 'meet_v2_get_participant_session' (single session) or 'meet_v2_list_participants' (list participants). Usage context is implied but not stated.

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