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start_free_test

Ask for a free test of a website. Emails the user a confirmation link; the test runs only after they click it, and the result is emailed to them. Pass only the website and the email the user gave you.

Input Schema

NameRequiredDescriptionDefault
urlYes
emailYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does so well: it discloses that an email confirmation is sent, that the test does not run until the link is clicked, and that results arrive by email. It omits edge behavior such as duplicate requests or error conditions for invalid URLs/emails.

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?

Two sentences, front-loaded with the purpose, followed by the behavioral consequence. Every clause carries information and nothing is padded.

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?

An output schema exists so return values need not be described, and the async email flow is the key thing an agent must convey to the user. Coverage would be complete with a note on repeat calls or failure handling, but nothing essential to correct invocation is missing.

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

Parameters3/5

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

Schema coverage is 0%, so the description must supply meaning, and it partially does by mapping url to 'the website' and email to 'the email the user gave you', warning against inventing an address. It adds no format constraints for the URL or validity expectations for the email.

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 states a specific action and resource: requesting a free website test. The async confirm-then-run flow implicitly separates it from the polling siblings get_free_test_status and get_audit_status, though no sibling is named explicitly.

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

Usage Guidelines3/5

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

Usage is implied by the request flow rather than stated: an agent can infer this is the entry point before get_free_test_status. There is no explicit guidance on when not to call it, e.g. if a test is already pending, or how it relates to the sibling status tools.

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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