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Who Liffey Metals is

get_business_info
Read-onlyIdempotent

Name, founder, contact details (WhatsApp preferred, with the link to hand a person and the reply time), enquiry hours, location and how to deal with us, service area, services, the verifiable trust signals (each with where to check it), the pages to cite and the live Google rating once the listing has reviews (null until then; never a made-up figure).

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already establish read-only, idempotent, non-destructive, and closed-world behavior. The description adds useful data-quality context: WhatsApp is preferred, reply time is included, trust signals come with where to verify them, and the Google rating may be null until reviews exist and must never be fabricated. It does not discuss freshness or caching, but adds meaningful behavioral detail beyond annotations.

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 a single dense sentence whose clauses all map to returned content, so it earns its length. However, it is a run-on list rather than a front-loaded 'Returns...' statement, making it slightly harder 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?

With no output schema, the description must carry the return-value burden, and it thoroughly lists the business details plus the null/fabrication caveat for the Google rating. For a zero-parameter read-only business-info tool, this is complete enough to call 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 tool has zero parameters and 100% schema description coverage, so the baseline is 4. The description does not need to explain parameter semantics because there are no inputs.

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 enumerates the exact business facts the tool returns: founder, contact details, enquiry hours, location, service area, services, trust signals, citation pages, and Google rating. This makes the resource clear, but it never states the operation in a verb phrase or explicitly differentiates itself from siblings such as get_faq and list_services, despite overlapping on 'services'.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus alternatives like get_faq, get_guides, or list_services. The intended usage is only implied by the content list, with no exclusions or routing conditions.

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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