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demo

Read-only

Free static sample output. Pass a paid route slug.

Input Schema

NameRequiredDescriptionDefault
slugYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / slug / enum
      Previous value: -[
      -  "email-check",
      -  "email-auth",
      -  "domain-dns",
      -  "site-contacts",
      -  "site-audit",
      -  "url-markdown",
      -  "se-validate",
      -  "iban",
      -  "se-account-to-iban",
      -  "bank-days"
      -]New value: +[
      +  "email-check",
      +  "email-auth",
      +  "domain-dns",
      +  "site-contacts",
      +  "site-audit",
      +  "url-markdown",
      +  "se-validate",
      +  "iban",
      +  "se-account-to-iban",
      +  "bank-days",
      +  "brand-check"
      +]
  2. First observed

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already establish that this is a read-only, open-world operation. The description adds useful behavioral context by saying the output is free and a static sample rather than live data, but it does not clarify freshness, caching, or whether the sample varies by slug.

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 short sentences with no wasted words. The core purpose is front-loaded, followed by the invocation instruction.

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?

For a simple one-parameter demo tool with annotations and no output schema, the description explains enough to invoke it correctly. A small gap remains around expected return shape or whether the sample is fixed per route, but the essential context is present.

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?

Schema description coverage is 0%, so the description needs to carry the parameter meaning. It does so by clarifying that the slug identifies a paid route whose sample output is returned, which adds useful context beyond the enum values alone.

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 that the tool returns free static sample output for a paid route, which is a specific function. It implicitly distinguishes itself from the sibling route tools by being the free sample/demo variant, though it does not name any sibling 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?

The instruction 'Pass a paid route slug' explains how to call the tool but not explicitly when to use it instead of the real paid route tools. The demo/free-sample framing implies preview usage, but no alternatives or exclusions are stated.

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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