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quote_climate_risk_assessment

Request a FREE commercial quote for: Climate Risk Assessment. Comprehensive climate risk evaluation for a geographic area or asset Returns a binding USD price and quote_id (valid 15 min); no execution yet and no credits consumed. Use execute_quote with the quote_id to run it — execution consumes prepaid credits. Requires an API key (X-API-Key or Authorization: Bearer).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses several key behaviors: the quote is free, binding, valid for 15 minutes, does not execute anything, does not consume credits, and requires authentication. This is strong transparency, though it doesn't mention what happens on expiry or how the geographic area/asset is specified.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences with no filler. The action is front-loaded, and each sentence adds distinct value: what the tool returns, the lack of execution/credit consumption, the follow-up tool, and the auth requirement.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter tool with no output schema, the description covers the essential operational context: return value, quote validity, next step, authentication, and credit implications. It lacks explicit differentiation among the many quote_* siblings and does not say how to specify the target area/asset, leaving minor gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With zero parameters and 100% schema description coverage, the baseline is 4. The description adds relevant context by mentioning the subject of the quote ('geographic area or asset'), but does not explain how to pass that information in the request, especially given additionalProperties: true.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a clear action and object: 'Request a FREE commercial quote for: Climate Risk Assessment.' It further clarifies the scope as 'Comprehensive climate risk evaluation for a geographic area or asset.' It distinguishes itself from execution via 'no execution yet,' but with ~40 quote_* siblings, it does not explicitly differentiate from near-names like quote_asset_climate_risk.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives practical guidance: use this tool to obtain a binding quote without consuming credits, then 'Use execute_quote with the quote_id to run it.' It also states the API key requirement. It does not explicitly contrast with other quote tools, but the execution-vs-quote context is clear.

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

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