license_seats

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

The annotations contain no safety hints (all false), so the description must carry the burden. It lists operations and notes the return type ('dict: Result of the operation including success status and data'), but does not disclose side effects, permission requirements, or error conditions. The operation descriptions themselves imply state changes, but no further context is added.

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 well-structured: a one-sentence summary, a brief note on seat assignability, a bulleted list of operations with requirements, and a return type line. Every sentence adds value; no filler or repetition.

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 multi-action tool, the description covers all three operations, their prerequisites, and the return shape. It omits edge cases (e.g., checking in an already-checked-in seat) and permission notes, but given an output schema exists and the sibling context is clear, this is reasonably complete.

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%, but the description adds important per-action parameter requirements, such as 'checkin requires seat_id' and 'checkout requires license_id, seat_id, and checkout_data'. This clarifies conditional usage beyond the flat schema and is genuinely useful for an agent selecting parameters.

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's purpose: 'Manage license seat checkouts and checkins.' It enumerates three specific operations (list, checkout, checkin) with their requirements, making it distinct from license-level tools like manage_licenses.

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 guidance is provided per operation, e.g., 'list: List all seats for a license (requires license_id)' and 'checkout: Checkout a seat to a user or asset (requires license_id, seat_id, and checkout_data)'. This gives concrete contexts for use, though it doesn't explicitly exclude alternative tools.

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