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AiAgentKarl

space-mcp-server

get_mars_rover_photos

Retrieve Mars rover surface photos using filters like rover, sol, Earth date, or camera to find specific images.

Instructions

Fotos von Mars-Rovern abrufen.

Zeigt echte Fotos von der Marsoberfläche. Ohne sol/earth_date: neueste verfügbare Fotos.

Args: rover: Rover-Name — "curiosity", "perseverance", "opportunity" oder "spirit" sol: Mars-Sol (Marstag seit Landung, z.B. 1000) earth_date: Erddatum im Format YYYY-MM-DD (alternativ zu sol) camera: Kamera-Kürzel (z.B. "FHAZ", "RHAZ", "MAST", "NAVCAM", "CHEMCAM") limit: Maximale Anzahl Fotos (Standard: 10, Maximum: 25)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
roverNocuriosity
solNo
earth_dateNo
cameraNo
limitNo
Behavior3/5

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

No annotations are provided, so the description must bear full burden. It mentions the tool returns real photos and default behavior, but does not disclose rate limits, pagination, or error handling for conflicting parameters (e.g., both sol and earth_date).

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

Conciseness4/5

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

The description is concise, with a clear structure: a one-line summary, a note on default behavior, and a list of arguments. No waste, though could be slightly more compact.

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

Completeness3/5

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

Given 5 parameters, no output schema, and no annotations, the description adequately explains parameters but omits return format and potential error conditions. It is complete enough for basic use but leaves some gaps.

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

Parameters4/5

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

Schema coverage is 0%, but the description lists all parameters with meaningful explanations (e.g., rover names, sol definition, earth_date format, camera examples, limit with default and max). This adds significant value beyond the schema.

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

Purpose5/5

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

The description clearly states the tool retrieves photos from Mars rovers, and the sibling tools (e.g., get_mars_rover_info, get_asteroid_details) are distinct, so the purpose is unambiguous.

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

Usage Guidelines4/5

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

The description explains fallback behavior when no sol/earth_date is given, but does not explicitly mention when to use this tool over alternatives (though sibling names make it obvious).

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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