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

Annotations cover the safety profile (readOnly, idempotent, non-destructive, closed world), and the description goes well beyond them by spelling out the legal model, the lead-time thresholds, the response-silence rule, the maximum exception length, and explicitly what is returned (lead-time check, response status, run length, next request date). That return-value disclosure is especially valuable given there is no output schema.

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?

Two sentences, front-loaded with the core judgment and followed by the return content; each clause carries substantive criteria rather than filler. The first sentence is dense and run-on, which slightly costs readability, but nothing is wasted.

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 high-complexity regulatory tool with no output schema, the description supplies the qualifying criteria, the timing rules, the coverage duration, and the shape of the result, which is close to complete. It stops short of describing the negative outcome (what an agent sees when a request fails to qualify), a minor remaining gap.

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 the schema already documents all eight parameters including defaults and enum values. The description's mention of dates, occupation, location, number, expected hours and contact maps loosely onto the inputs but adds no per-parameter syntax or defaulting rules beyond what the schema carries, so the baseline of 3 is appropriate.

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?

States a specific verb (judges) and resource (a request for apprentices) and scopes it to the Good Faith Effort Exception with a precise regulatory citation, so the agent can separate it from siblings like check_applicability. The listed criteria (45-day/14-day lead time, denial or 5-business-day silence, 365/366-day window) pin down exactly what is being evaluated.

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 thoroughly establishes the conditions under which the exception applies, which implicitly tells the agent when this tool is the right one. It does not, however, name an alternative or state a when-not case (e.g., pointing to check_applicability for prerequisite questions), so routing between siblings is left to inference.

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