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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the bar is lower; the description still adds real signal: matching is prefix-based, and the returned areas 'are not guaranteed municipal boundaries.' That caveat about data semantics is non-obvious and valuable.

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 compact statements with the core action front-loaded and no filler. Slightly dense with semicolons, but every clause (area types, area_id selection, boundary caveat, prefix search) earns its place.

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?

An output schema exists, so return values need not be explained. The description covers what is searched, the matching mode, and a data-quality caveat; the only gap is the unaddressed limit/cursor pagination behavior for a 4-parameter tool.

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 carries the parameter burden. It clarifies that query matches by name, state is used to qualify the area_id, and prefix matching applies to the query, but limit and cursor pagination parameters are left completely unexplained.

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 verb (find) and a precisely scoped resource (city, county, or metro grouping), plus the output to select (state-qualified area_id). This is clearly distinguishable from the sibling mystreetdata_search_streets, which operates on a different resource.

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?

It implies the lookup role by telling the agent to 'select the state-qualified area_id,' suggesting this feeds a downstream call, but it never states when to use this over search_streets or whether a street search also requires an area first. Usage is implied rather than explained.

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