nasa_eonet

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 mentions 'tracker' and 'data,' which implies a read-only operation, but doesn't specify whether it's a query, search, or list function, nor does it detail rate limits, authentication needs, or response formats. The description is too minimal to adequately inform behavior beyond basic intent.

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 very concise with a single phrase, 'Earth Observatory Natural Event Tracker - natural events data,' which is front-loaded and wastes no words. However, it may be overly brief, bordering on under-specification, but it efficiently conveys the core idea without redundancy.

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 a 5-parameter tool with no annotations and no output schema, the description is incomplete. It doesn't explain what the tool returns, how results are structured, or provide enough context for effective use. The description fails to compensate for the lack of structured data, leaving significant gaps in understanding.

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 input schema has 100% description coverage, with all 5 parameters clearly documented in the schema itself. The description adds no additional meaning or context about the parameters beyond what's in the schema. According to the rules, with high schema coverage (>80%), the baseline score is 3, as the schema does the heavy lifting and the description doesn't compensate or add value.

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 'Earth Observatory Natural Event Tracker - natural events data' states what the tool does at a high level but lacks specificity. It mentions tracking natural events data but doesn't specify the exact action (e.g., 'retrieve' or 'search') or clearly distinguish it from sibling tools like 'nasa_firms' or 'jpl_fireball' which might also handle natural events. The purpose is vague rather than precise.

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. With many sibling tools available (e.g., 'nasa_firms' for fires, 'nasa_neo' for near-Earth objects), there's no indication of context, prerequisites, or exclusions. Usage is implied only by the tool name and title, but no explicit guidelines are given.

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