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

With no annotations, the description carries the full load and does well: it discloses the response fields (official URL, issuer, filing location, fee, deadline), explains that deadlines are computed from a reference date and that backward-counting rules return no date, and states that each match names its trigger. The one real gap is the visibly truncated coverage sentence, which cuts off the local-jurisdiction scope mid-word.

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 dense sentence that front-loads the tool name, region, and input shape before the return payload, with no filler. It loses a point for the truncated trailing clause, which leaves a dangling fragment rather than a complete scope statement.

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 four-parameter tool with a nested jurisdiction object, no annotations, and no output schema, the description substitutes well for the missing output schema by enumerating exactly what each result contains. What remains unstated is the truncated jurisdiction coverage and any notion of result ranking or empty-result behavior when no rule matches.

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 75% and the schema already documents as_of, situation, and the nested jurisdiction object in detail, so the description's obligations are limited. It reinforces the plain-language nature of `situation` and the reference-date semantics but adds nothing about `max_results` ranking or how city/county inference broadens matches beyond what the schema says. Baseline 3 fits.

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 verb+resource pair ("Government Form & Procedure Finder") and states precisely what is returned: official government or court forms and procedures, each with URL, issuer, filing instructions, fee, and computed deadline. The example situations (encampment sweep, parking ticket, contractor overcharge) pin the domain clearly enough to separate it from legal-cite-verifier, precedent-search, and patent tools.

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 three concrete example situations give an agent a clear sense of when this tool applies, and the coverage statement ("California statewide plus the City and C...") frames scope. However, it never states when NOT to use it or points to a sibling such as legal-cite-verifier or precedent-search when the user wants case law rather than forms.

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