nasa_power

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

No annotations are provided, so the description carries full burden for behavioral disclosure. However, it fails to describe any behavioral traits—it doesn't indicate whether this is a read-only query, a computational prediction tool, or something else. It doesn't mention authentication needs, rate limits, data formats beyond the schema, or what kind of output to expect. The description is essentially non-functional in this regard.

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 phrase that is under-specified rather than concise. It doesn't front-load critical information—it's essentially a tagline that fails to communicate the tool's function. While brief, it lacks the structure needed for effective tool selection, making it inefficient despite its short length.

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 7 parameters (6 required) and no annotations or output schema, the description is completely inadequate. It doesn't explain what the tool does, how to use it, what it returns, or any behavioral aspects. For a data retrieval tool with multiple geographic and temporal parameters, this minimal description leaves too many gaps for effective agent use.

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%, so the schema already documents all 7 parameters thoroughly. The description adds no additional meaning about parameters—it doesn't explain what 'parameters' might include (e.g., temperature, radiation), what 'community' codes represent, or provide examples. With high schema coverage, the baseline is 3, and the description doesn't compensate with extra insights.

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 'Prediction of Worldwide Energy Resources - meteorological data' is vague and tautological, essentially restating the tool name 'nasa_power' without specifying what action it performs. It mentions 'meteorological data' but doesn't clarify if this tool retrieves, analyzes, or processes that data. Compared to sibling tools like 'nasa_apod' (Astronomy Picture of the Day) or 'nasa_neo' (Near Earth Objects), this description lacks a clear verb+resource combination.

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 no guidance on when to use this tool versus alternatives. It doesn't mention any specific use cases, prerequisites, or how it differs from sibling tools like 'nasa_cmr' or 'nasa_gibs' that might also handle NASA data. Without any context about its intended application, users must infer usage from 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.