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nasa_apod

Fetch NASA's Astronomy Picture of the Day by specifying a date or date range to access daily space imagery and explanations.

Instructions

Fetch NASA's Astronomy Picture of the Day

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYesThe date of the APOD image to retrieve (YYYY-MM-DD)
countNoCount of random APODs to retrieve
start_dateNoStart date for date range search (YYYY-MM-DD)
end_dateNoEnd date for date range search (YYYY-MM-DD)
thumbsNoReturn URL of thumbnail for video content
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states what the tool does ('fetch') without detailing aspects like rate limits, authentication needs, response format, or potential errors. This is inadequate for a tool with multiple parameters and no output schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core purpose without any wasted words. It's appropriately sized for a simple fetch operation, making it easy for an agent to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 5 parameters, no annotations, and no output schema, the description is incomplete. It doesn't explain how parameters interact (e.g., using 'date' vs. 'start_date'/'end_date'), what the return values look like, or any behavioral constraints, leaving significant gaps for agent understanding.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds no parameter-specific information beyond the input schema, which has 100% coverage with clear descriptions for all 5 parameters. Since the schema does the heavy lifting, the baseline score of 3 is appropriate, as the description doesn't compensate but also doesn't detract.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'fetch' and the resource 'NASA's Astronomy Picture of the Day', making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'nasa_images' or 'nasa_epic', which might also fetch NASA images, so it lacks explicit sibling distinction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives, such as other NASA image tools in the sibling list. It doesn't mention any prerequisites, exclusions, or specific contexts for usage, leaving the agent to infer based on the tool name alone.

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

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