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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds details about the data contents (hard cost, soft cost, contingency, escalation) and the per-call price, but does not disclose any potential behavioral caveats such as data freshness, rate limits, or what happens with missing data. It is consistent with the read-only annotation and adds some context, but not rich behavioral insight.

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?

The description is concise, front-loading the core purpose with a dash, then listing sources, audience, and price. It avoids unnecessary fluff and every sentence adds value. It could be slightly tighter by merging the audience and price, but it is well-structured and easy to parse.

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?

Given there is no output schema, the description does not specify the response format or structure, which is a gap for a benchmark tool. It also fails to explain construction_class, which is a required selection among A/B/C. While it covers the data types and sources, it leaves the agent guessing about how to interpret the output and what the class parameter means, so the description is not fully complete for a tool with no output schema.

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 must compensate for the parameters. It explicitly mentions 'by building type and region,' which covers building_type and region, but it does not explain the construction_class parameter (A, B, C) at all. While the enum values are self-explanatory for building_type and region, construction_class lacks any description of its meaning or how it affects the output. The description is incomplete for one of three parameters.

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 clearly states the tool's purpose: providing construction cost benchmarks including hard cost per SF, soft cost ratios, contingency standards, and material cost escalation signals. It names specific sources (NAHB, Turner, RSMeans) and the target audience, which gives a concrete sense of the deliverable. It doesn't explicitly differentiate from sibling tools like get_development_pro_forma_benchmark, but the focus on construction cost is distinct enough that an agent can infer the scope.

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 does not provide any guidance on when to use this tool versus alternatives. It mentions the intended audience (developers, lenders, project owners) but does not state when this tool is preferred over other real estate benchmarks (e.g., cap rate, development pro forma, or rental market). No exclusion criteria or alternative tool references are given, leaving the agent to guess based on the name alone.

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