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

With no annotations present, the description carries the burden and does so thoroughly. It discloses that the quote is free, binding, returns a quote_id valid for 15 minutes, performs no execution, consumes no credits, and requires API-key authentication. This clearly communicates side effects and prerequisites beyond the tool name.

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 front-loaded with the core purpose and then packs essential operational details into a compact paragraph. Every sentence contributes value: pricing, validity, execution flow, credit consumption, and authentication. There is no filler or repetition of the tool name.

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 quote tool with no output schema and no annotations, the description is complete. It tells the agent what the tool does, what it returns (binding USD price and quote_id), how long the quote is valid, how to proceed with execution, and what authentication is required. Nothing necessary for correct invocation is missing.

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 declares no properties, and the schema description coverage is 100%, so there are no parameters for the description to elaborate. The description adds useful context by stating the target is 'specific physical assets,' but since there are zero documented parameters, the baseline of 4 is appropriate.

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 specific verb and resource: 'Request a FREE commercial quote for: Asset Climate Risk Scoring.' It further clarifies the scope as 'Climate risk scoring for specific physical assets,' which distinguishes it from broader siblings like quote_climate_risk_assessment. This is enough for an agent to identify the tool's purpose.

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 clearly maps the workflow: request a quote here, then 'Use execute_quote with the quote_id to run it.' It also provides boundary cues such as 'no execution yet and no credits consumed' versus execution consuming prepaid credits. It does not explicitly exclude sibling quote tools, but the physical-asset scope and product name provide adequate context for selection.

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