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

With no annotations supplied, the description takes on full transparency responsibility and succeeds. It discloses pricing ('FREE commercial quote'), output ('binding USD price and quote_id'), validity ('valid 15 min'), credit behavior ('no credits consumed' vs 'execution consumes prepaid credits'), and authentication ('Requires an API key'). These are significant behavioral traits beyond a simple 'request a quote' statement.

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 compact and information-dense, front-loading the core purpose and then detailing pricing, validity, execution, and auth. It has minor formatting issues, like the run-on 'infrastructure Returns' and slight redundancy between 'no credits consumed' and 'execution consumes prepaid credits', but every sentence earns its place and no irrelevant content is present.

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 zero-parameter, no-output-schema tool, the description is surprisingly complete: it covers the returned contract identifiers, validity window, credit implications, next-step tool, and required authentication. It does not explain how the user supplies the specific risk context (e.g., location, asset type), but given no input schema is declared, this gap is not material enough to lower the score further.

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?

The input schema has zero parameters and 100% schema description coverage, so there are no parameter details to document. The description adds context about what the quote is for ('Permafrost Thaw Risk', 'Arctic infrastructure'), which is meaningful even with no declared parameters. This aligns with the baseline of 4 for zero-parameter tools.

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 opens with a clear action and resource: 'Request a FREE commercial quote for: Permafrost Thaw Risk.' It then specifies the domain ('Permafrost thaw risk evaluation for Arctic infrastructure'), which distinguishes it from the many sibling quote_* tools. The purpose is unambiguous and directly tied to the tool name.

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 explicitly routes to the correct follow-up tool: 'Use execute_quote with the quote_id to run it.' It also clarifies that this tool only quotes, not executes ('no execution yet'), and that execution consumes credits, so an agent can decide when to use each tool. This is explicit and practical guidance.

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