fieldpulse

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

No annotations provided, so the description must fully disclose behavior. It fails to mention authentication, rate limits, pricing model (though costs per call are noted), error handling, or idempotency. The action is presumably read-only but not explicitly stated.

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 structured with a clear opening sentence, coverage note, and bulleted endpoints. It is front-loaded with the core purpose. However, it is slightly verbose with redundant 'intelligence' phrasing and could be trimmed.

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 (8 parameters, 10 endpoints, no output schema), the description is insufficient. It does not clarify when to use lat/lon vs region, what data each endpoint returns, or prerequisites (e.g., some endpoints may require specific parameters).

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 coverage is 100%, so baseline is 3. The description adds marginal value by explaining each endpoint's purpose (e.g., 'ET0-based irrigation recommendation' for irrigation) but does not elaborate on parameter usage beyond what the schema already provides.

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 clearly states the tool as a global precision agriculture intelligence API synthesizing satellite NDVI, soil/weather, and market data. It lists specific endpoints (yield-forecast, weather-risk, etc.) with brief purposes, distinguishing it from siblings like marketpulse or alphapulse which serve other domains.

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 lacks explicit guidance on when to use this tool vs alternatives. It lists endpoints but does not provide conditional logic (e.g., 'use yield-forecast for production estimates, weather-risk for short-term hazards'). No when/when-not or alternative tool mentions.

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