get_astronomy_picture_of_day

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

No annotations are provided, so the description carries the full burden. It discloses behavioral traits: it retrieves data (implied read-only), handles defaults (current date if 'date' not specified), and describes parameter interactions (e.g., 'count' cannot be used with 'date'). However, it lacks details on rate limits, authentication needs, or error handling, which are important for a public API tool.

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 appropriately sized and front-loaded, starting with the core purpose followed by detailed Args. Every sentence earns its place by clarifying parameter usage. However, it could be slightly more concise by integrating the purpose and Args more seamlessly, and the structure is functional but not optimal for quick scanning.

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 (3 parameters, no annotations, no output schema), the description is moderately complete. It explains parameters well and provides usage guidelines, but lacks output details (e.g., what data is returned) and broader context like API limitations or error cases. For a tool with no structured output, more information on return values would enhance 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?

The schema description coverage is 0%, so the description must compensate fully. It adds significant meaning beyond the input schema by explaining each parameter's purpose, format (e.g., 'YYYY-MM-DD'), defaults, constraints (e.g., 'count' vs. 'date' exclusion), and behavior (e.g., 'thumbs' ignored for non-videos). This comprehensively covers all three parameters, providing essential context not in 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?

The description clearly states the tool's purpose: 'Get NASA's astronomy picture of the day.' It specifies the verb 'Get' and the resource 'NASA's astronomy picture of the day,' which is distinct from sibling tools like those for asteroids, Mars rovers, or solar events. However, it does not explicitly differentiate from all siblings, as some might also retrieve images (e.g., get_earth_imagery), so it lacks full sibling differentiation.

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 provides clear context for usage through the Args section, explaining when to use parameters like 'date' for specific dates, 'count' for random images, and 'thumbs' for videos. It includes an exclusion rule: 'Cannot be used with 'date'' for 'count.' However, it does not explicitly state when to use this tool versus alternatives among siblings, such as for astronomy-specific images versus other NASA imagery tools.

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