check_out

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

No annotations are provided, so the description carries full burden. It describes the core behavior (finding open record and setting check_out time) but lacks important details: whether this requires authentication, what happens if no open record exists (error? silent failure?), what the output contains, or any side effects. For a mutation tool with zero annotation coverage, this leaves significant behavioral gaps.

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 extremely concise—two short sentences that directly explain the tool's purpose and behavior. Every word earns its place, with no redundant information. The structure is front-loaded with the primary action, followed by implementation details. This is a model of efficiency.

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?

Given that this is a mutation tool with no annotations but has an output schema, the description is minimally adequate. It explains what the tool does but misses important context like error conditions, authentication requirements, and what 'now' means (server time vs. client time). The output schema will handle return values, but the description should cover more behavioral aspects for a tool that modifies data.

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?

The tool has 0 parameters with 100% schema description coverage. The description correctly doesn't waste space explaining non-existent parameters. It adds context about what the tool does internally (finds open record, sets check_out to now), which provides semantic meaning beyond the empty schema. This is appropriate for a parameterless tool.

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 ('Record attendance check-out'), the target resource ('attendance record'), and the scope ('for the current user'). It distinguishes from sibling tools like 'check_in' by specifying the opposite operation. The description provides a complete picture of what the tool does without being 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 context by mentioning 'Finds the open attendance record,' suggesting it should be used when there's an existing open attendance record to close. However, it doesn't explicitly state when NOT to use it (e.g., if no open record exists) or name alternatives like 'check_in' for starting attendance. The guidance is present but incomplete.

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