best_day_to_bird

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

No annotations are provided, so the description must fully disclose behavior. It mentions combining three data sources but does not explain how the recommendation is computed, what the output format is, any limitations (e.g., data gaps, rate limits), or side effects. More detail is needed for an agent to understand the tool's behavior.

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, well-structured sentence that immediately conveys the tool's purpose. It is front-loaded, efficient, and contains no unnecessary words.

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 the complexity of combining multiple data sources (migration forecasts, historical frequency, recent trends) and the absence of an output schema, the description is insufficient. It does not specify the recommendation format, error handling, or fallback behavior, leaving an agent under-informed.

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%, with each parameter having a basic description. The description adds context by stating the data sources used (BirdCast, eBird), but does not significantly enhance meaning beyond the schema. Baseline of 3 is appropriate as the schema already provides adequate documentation.

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 recommends the best day to go birding within a date range by combining multiple data sources. The verb 'recommend' and resource 'best day' are specific, and it distinguishes itself from sibling tools like migration_forecast or species_frequency by being an aggregative recommendation tool.

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 mentions use within a date range but lacks explicit guidance on when to use this tool versus alternatives (e.g., migration_forecast for pure forecasts, species_frequency for historical data). No exclusions or when-not-to-use instructions are provided, limiting its helpfulness for tool selection.

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