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nasa_mars_rover

Retrieve Mars rover photos by specifying rover name, date, or camera to access NASA's collection of Martian imagery for analysis or exploration.

Instructions

NASA Mars Rover Photos - images from Mars rovers

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
roverYesName of the rover (curiosity, opportunity, spirit, perseverance)
solNoMartian sol (day) of the photos
earth_dateNoEarth date of the photos (YYYY-MM-DD)
cameraNoCamera name
pageNoPage number for pagination
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states what the tool does (retrieve photos) without mentioning any behavioral traits such as rate limits, authentication needs, pagination behavior (implied by the 'page' parameter but not explained), or what happens on errors. For a tool with 5 parameters and no output schema, this is a significant gap in transparency.

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 extremely concise—a single, clear sentence that directly states the tool's function without any unnecessary words. It's front-loaded with the core purpose, making it efficient and easy to parse, which is ideal for quick understanding.

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's complexity (5 parameters, no output schema, and no annotations), the description is incomplete. It lacks details on behavioral aspects like how results are returned, pagination handling, or error conditions. Without annotations or an output schema, the description should provide more context to help the agent use the tool effectively, but it falls short.

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 input schema has 100% description coverage, clearly documenting all 5 parameters (rover, sol, earth_date, camera, page) with their types and purposes. The description adds no additional parameter semantics beyond what's in the schema, so it meets the baseline score of 3, as the schema does the heavy lifting.

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 tool's purpose: retrieving photos from NASA Mars rovers. It specifies the resource (images) and the source (Mars rovers), making it easy to understand what the tool does. However, it doesn't differentiate from sibling tools like 'nasa_images' or 'nasa_apod', which might also involve image retrieval, so it doesn't reach the highest clarity level.

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. It doesn't mention any specific contexts, prerequisites, or exclusions, nor does it compare to sibling tools like 'nasa_images' that might also handle image-related queries. This leaves the agent with minimal usage direction.

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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