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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so the safety profile is fully covered. The description contributes two real behavioral facts: results are not a blended/composite score, and the output is not legal advice. It says nothing further about ordering, tie-breaking, or the fact that 'demand per law office' is a normalized ratio, which is the tool's core behavioral trait.

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?

Three terse sentences with the verb and scope front-loaded and no filler or repetition. The final disclaimer is short but borders on boilerplate; one more sentence about the practice/metric parameters would have been a better use of the space.

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 and annotations are rich, so return values and safety need no prose. But for a 7-parameter tool with only 2 required, the description leaves the agent without guidance on how to choose a `metric` (it references 'options' that are never identified) or how `top` and `limit` interact. Adequate to call the tool, not adequate to call it well.

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 71% and the schema text for `state` is truncated ('or US to rank the…'), so the description usefully completes that dual-mode semantics — a big win for the most confusing required parameter. However, `practice`, `metric`, `top`, `minDemand`, `limit`, and `lang` get no mention, and 'metric ... from options' implies a discovery step (likely the resolve sibling) that is never explained.

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 and scope: it ranks states (when state="US") or one state's counties by demand per law office. That is concrete enough to distinguish it from a generic listing tool, and the title reinforces the per-lawyer normalization. It stops short of naming how it differs from siblings like rank_markets or supply_trend, so an agent must infer the boundary.

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?

There is no statement of when to use this tool versus compare_markets, rank_markets, demand_trend, or supply_trend, all of which plausibly overlap. The clarifications given ('No composite score', 'Not legal advice') are disclaimers about output, not selection guidance. The agent is left to guess from the name alone.

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