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

With no annotations provided, the description carries the full burden of disclosing behavior. It does state what the tool returns: facts with official citation URL and last-verified date. It does not disclose potential side effects (though 'Get' implies read-only), behavior when the optional market is omitted, error conditions, pagination, or result limits. For a simple read tool this is adequate but not rich; it leaves the agent to assume a safe read operation and a certain response shape.

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 well-crafted sentence followed by a brief example. It front-loads the core function, then clarifies with an illustrative invocation and describes the output. Every word earns its place; there is no repetition or filler.

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 two-parameter tool with no output schema and no annotations, the description gives the essential purpose and return values, but it leaves gaps: the meaning of a null market is undefined, the exact shape of returned facts is only hinted at, and there is no guidance on invalid inputs or unsupported subjects/markets. These gaps are not critical for a simple getter, but they prevent the description from being fully self-sufficient.

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 0%, so the description must compensate for both parameters. It does define subject as a product subject and market as a target market, with example values ('childrens_products', 'US'). However, it does not explain that market is optional with a default of null, does not constrain possible subject values, and does not specify expected formatting. The examples add some meaning beyond the raw schema, but the optionality and semantics of a null market are left ambiguous.

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 uses a specific verb ('Get') and a clear resource ('cited compliance requirements for a product subject in a given market'), and it adds the concrete example subject='childrens_products', market='US'. This makes the primary purpose immediately understandable. It does not explicitly differentiate this tool from its siblings (list_changes, search_recalls, verify), but the distinct action and resource make confusion unlikely, so it falls just short of a 5.

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 gives an example invocation and implies it should be used when an agent needs cited compliance data for a product subject and market. However, it provides no explicit guidance on when to prefer this tool over siblings like search_recalls or verify, and there are no statements about when not to use it. The usage context is implied through the example, not explicitly scoped.

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