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quote_climate_scenario_simulation

Request a FREE commercial quote for: Climate Scenario Simulation. Multi-scenario climate simulation with cascading impact analysis 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
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses that the quote is binding, valid for 15 minutes, requires an API key (X-API-Key or Authorization: Bearer), and that no execution occurs and no credits are consumed. However, it does not specify what happens if the quote expires or whether the quote is free only once, but the key behavioral traits are well covered.

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 three sentences, each earning its place: first states the purpose, second details the quote validity and next steps, third mentions authentication. It is front-loaded with the core action and key differentiators, making it efficient and easy to scan.

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?

Given the tool's simplicity (no parameters, no output schema), the description is complete. It covers what the tool does, the quote validity, the lack of execution and credit consumption, the required authentication, and the relationship to execute_quote. An agent has all necessary information to call this tool correctly and understand the outcome.

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 is empty (no properties), but additionalProperties is true, implying optional parameters may be passed. The description does not list any parameters, but with zero parameters this is not a gap. The description adds value by explaining the tool accepts no required inputs and that the API key is passed via headers, not schema parameters. Thus, the description compensates for the lack of schema detail.

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 states the tool's purpose: to request a free commercial quote for Climate Scenario Simulation. It specifies the verb 'request', the resource 'Climate Scenario Simulation', and uniquely identifies this tool among many similar quote siblings by naming the specific service. It also distinguishes its role from the broader request_quote tool and the execution tool execute_quote.

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?

The description explicitly states when to use this tool: to obtain a quote without execution. It provides clear next steps: use execute_quote with the returned quote_id to run the simulation. It also clarifies that this tool does not consume credits, contrasting with execution. This explicit routing prevents confusion with sibling quote tools and the execute_quote tool.

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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