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quote_urban_heat_island

Request a FREE commercial quote for: Urban Heat Island Assessment. Urban heat island effect intensity and exposure mapping 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

A4.7/5.0
Behavior5/5

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

Since there are no annotations, the description carries the full burden and meets it exceptionally well. It discloses binding pricing, a 15-minute quote validity, that no execution happens, no credits are consumed during quoting, that execution uses prepaid credits, and that an API key is required. These are critical behavioral details beyond the schema.

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?

The description is concise (about three sentences) and front-loaded with the primary action: 'Request a FREE commercial quote'. It efficiently covers purpose, return value, expiration, workflow, and authentication without extraneous detail.

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

Completeness5/5

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

Considering the tool has no parameters, no output schema, and no annotations, the description supplies everything an agent needs: the service scope, the return payload (USD price and quote_id), the validity window, the execution hand-off to execute_quote, and the authentication requirement. It is fully self-contained.

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 parameters and 100% schema description coverage, so the baseline is 4. The description does not need to explain parameters because there are none; it adds no parameter-specific meaning but leaves no parameter gaps either.

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 clearly identifies the verb ('Request... quote') and a highly specific resource ('Urban Heat Island Assessment'), further clarifying the service as 'urban heat island effect intensity and exposure mapping'. This effectively distinguishes it from the many sibling quote tools by naming the exact assessment type.

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 provides strong workflow guidance: it explains that quoting returns a price and quote_id, that no execution occurs, and explicitly instructs to use execute_quote with the quote_id to run the assessment (which consumes credits). It does not explicitly contrast with sibling quote tools, but the lifecycle 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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