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

With no annotations, the description carries the full burden and does disclose cost ($0.02 per call), authentication (no key), and a rate limit, plus a partial sketch of returned fields. It stops short of pagination limits or error behavior, but the cost/auth/rate context is genuinely useful.

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?

A single tight block that front-loads the two facts an agent most needs before calling (price and source), then compresses params and returns. Slight redundancy with the schema's own parameter descriptions is the only waste.

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?

For a no-annotation, no-output-schema read tool with three optional params, the description covers cost, auth, rate limiting, param semantics and the shape of results. Missing only secondary details like result caps or pagination behavior.

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 all three parameters are already documented in the schema; the description repeats them with defaults and adds only the 'free-text filter' nuance for reason. Baseline 3 is correct when the schema does the heavy lifting.

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?

Names a specific resource (FDA recall enforcement reports) plus the exact source (open.fda.gov), which is enough to distinguish it from every sibling such as sec_edgar_search or usgs_earthquakes without opening a schema.

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 supplies the dataset, the food|drug|device selector and defaults, which implies when the tool applies, but never states when to prefer it over a sibling or when not to use it. No exclusions or alternative routing are given.

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