check_date_completeness

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

No annotations provided, so description carries full burden. It does not disclose whether the tool is read-only, what side effects occur (likely none), or any behavioral traits like error handling or output format. Minimal transparency beyond the basic action.

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?

Very concise at two sentences, front-loading the core purpose. However, it could include a brief note about output or usage without becoming verbose.

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?

Missing critical context: no output schema, so the return value is unexplained. The criteria for 'completeness' are not defined. For a tool with 6 parameters and 3 required, the description is too sparse to fully guide an agent. Additional details about how 'actual_items' is validated would improve completeness.

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 67% (4/6 parameters have descriptions), but the tool description only adds context for the 'granularity' parameter (day/week/month). It does not explain the relationship between 'actual_items' and date ranges, nor the meaning of 'calendar' and 'holidays' beyond their enum values. The description adds marginal value over the schema.

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?

Description clearly states the tool validates date-range completeness for structured results, specifying supported granularities (day, week, month). The verb 'validate' and noun 'date-range completeness' make the purpose clear, though it does not explicitly differentiate from siblings like 'browser_extract_tables_for_date_range' or 'reconcile_time_series'.

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 on when to use this tool versus alternatives, no prerequisites, and no conditions for when not to use it. The description only states its function without context for integration or selection.

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