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

Annotations already declare a read-only, idempotent, non-open-world read, so the safety profile needs no restating. The description does add real value beyond them by disclosing data provenance (clinics' own website statements, each with page and read date) and the inclusion of ASRM's position and Wegovy/Zepbound labeling. It does not say whether the result is a single aggregate figure or per-clinic rows, which is the main behavioral ambiguity.

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?

It is a single sentence with the primary answer front-loaded and the supporting content (ASRM position, drug labels) trailing as qualifications. It is dense but every clause carries information about the returned content; the final Wegovy/Zepbound clause is the only part that feels appended.

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 zero-parameter, read-only lookup with no output schema, the description covers subject, provenance, freshness (date read), and the included authoritative counterpoint, which is close to complete. The remaining gap is whether the response is one aggregate number or a set of clinic-level limits with quotes, which affects how an agent would present it.

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 tool takes zero parameters, so the baseline is 4 and there is no parameter meaning to add. The description correctly spends no words on inputs and puts all detail into what the result contains.

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 names a specific resource (the highest BMI US fertility clinics state on their own websites for IVF or egg retrieval) with a specific verb-like framing (quoted, with page and date read). It is clearly distinct from every sibling, which are about cost, coverage, doctors, grants, and insurance rules.

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?

Usage is implied by the topical specificity: an agent asking about clinic BMI cutoffs will recognize this tool. However, there is no explicit when-to-use statement, no exclusions, and no reference to a sibling alternative for related questions such as ASRM guidance alone or medication labels alone.

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