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quote_regulatory_compliance_risk

Request a FREE commercial quote for: Regulatory Compliance Risk Assessment. Assess regulatory compliance risk for environmental regulations 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 provided, the description carries the full behavioral disclosure burden and does this well. It discloses that the quote is binding, valid for 15 minutes, consumes no credits, performs no execution, and requires an API key. These are meaningful behavioral traits beyond what the name alone conveys.

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 appropriately sized and front-loads the core purpose before lifecycle and auth details. It contains a run-on sentence and missing punctuation after 'environmental regulations' and 'quote_id', but every sentence earns its place and the length is reasonable.

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?

For a zero-parameter tool with no output schema and no annotations, the description is complete. It explains the return value (binding USD price and quote_id), validity period, lack of execution/credit consumption, the follow-up tool to use, and authentication requirements. An agent has everything needed to call it correctly.

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, so the baseline is 4. The description does not need to explain parameter semantics because there are none; it appropriately focuses on output and quoting behavior instead.

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 states a specific verb and resource: 'Request a FREE commercial quote for: Regulatory Compliance Risk Assessment.' It also clarifies the tool's scope with 'environmental regulations' and differentiates it from execution tools by stating 'no execution yet.' This clearly identifies what the tool does and how it differs from sibling tools like 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 Guidelines4/5

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

The description gives clear context for when to use the tool: to obtain a quote before any execution. It also explicitly names the alternative for the next step: 'Use execute_quote with the quote_id to run it.' However, it does not directly compare against other quote_* siblings (e.g., quote_carbon_assessment), relying instead on the tool name and resource phrasing.

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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