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quote_flood_risk_score

Request a FREE commercial quote for: Flood Risk Score. Rapid flood risk score for a specific location 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

A4.6/5.0
Behavior5/5

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

With no annotations available, the description carries the full behavioral burden. It discloses quote validity (15 min), that the price is binding, that quoting consumes no credits, that execution consumes prepaid credits, and that auth via X-API-Key or Bearer is required. This is substantive and transparent.

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

Conciseness4/5

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

The description is compact and front-loaded, with each sentence adding a distinct fact: free quote, location, price and quote_id, validity, credit behavior, execution follow-up, and auth. Minor punctuation and run-on issues such as 'location Returns' keep it from a perfect score.

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

Completeness3/5

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

The workflow context is strong: binding price, 15-minute validity, no execution, execution path, and auth. The main gap is that the empty schema plus the reference to 'a specific location' leaves an agent unsure how to actually provide the location when calling the tool, which is essential for a flood risk score.

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?

The input schema has zero declared parameters, so the baseline is high. The description adds meaningful context by indicating the quote is for a 'specific location,' which is useful domain meaning. However, it does not specify how to pass that location, since the schema provides no field names or body guidance.

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

Purpose5/5

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

The description names a clear verb and resource: 'Request a FREE commercial quote for: Flood Risk Score' and explains the output as a binding USD price plus quote_id. It also explicitly separates quoting from execution, preventing confusion with execute_quote and the other quote_* siblings.

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

Usage Guidelines5/5

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

It tells the agent exactly what to do next: 'Use execute_quote with the quote_id to run it' and states the key boundary: 'no execution yet and no credits consumed.' It also provides the API key prerequisite, which is important for successful invocation.

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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