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Nero Reviews: verified job reviews for trades

Explain the UK review law rules

review_rules
Read-onlyIdempotent

Explains the review law rules Nero Reviews enforces (UK DMCC Act 2024 and CMA fake review guidance) in plain words, including, for example, why a trade cannot pick which customers to ask.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "review_rules"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds real context beyond that by scoping the legal content it covers and giving a concrete example of the kind of question it answers ('why a trade cannot pick which customers to ask'). It does not say what form the answer takes or how long it is.

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?

A single front-loaded sentence states the subject before the illustrative clause, with no filler. The 'including, for example,' construction is slightly padded but the example itself earns its place by showing the depth of answer expected.

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 no-parameter, read-only explainer the description tells the agent what subject matter it returns. The one remaining gap is that there is no output schema and the description does not indicate that the return value is a prose explanation, which would matter for an agent deciding whether to read or act on the result.

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

Parameters5/5

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

The tool takes no parameters, so there is nothing for the description to disambiguate and the zero-argument baseline applies cleanly.

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 names a specific verb and resource ('Explains the review law rules Nero Reviews enforces') and pins the content domain to named sources (UK DMCC Act 2024 and CMA fake review guidance). Nothing in the sibling list overlaps with an explanatory, content-only tool, so an agent can route here without ambiguity.

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 only implied: by describing itself as a plain-words explanation of the rules, it signals it is for understanding rather than acting on a review. There is no explicit 'use this when...' statement and no named alternative for agents who actually want to dispute or reply to a review.

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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