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Ligis-Link-mcp

check_compliance

Check construction trade compliance with exact code references and clause citations. Provides COMPLIANT, NON_COMPLIANT, or REQUIRES_VERIFICATION status for specific installations and practices.

Instructions

Answers construction trade compliance questions with exact code references and clause citations. Use this tool when a tradesperson or engineer asks whether a specific installation, practice, or configuration is compliant with local regulations. Returns a COMPLIANT, NON_COMPLIANT, or REQUIRES_VERIFICATION status with the precise standard (e.g. AS/NZS 3000:2018 Clause 3.2.4) and any critical caveats. Covers electrical, plumbing, HVAC, welding, carpentry, roofing, gas fitting, solar, fire protection, and concrete trades across Australia, UK, USA, Canada, and EU. Do NOT use this tool for numerical calculations (use calculate_technical_spec instead) or for generating safety checklists or RAMS documents.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tradeYesThe construction trade relevant to the question. Must match a supported trade exactly.
regionYesJurisdiction for the compliance check. Examples: 'NSW', 'England', 'Texas', 'Ontario', 'Germany'. Determines which standard applies.
questionYesThe compliance question in plain English. Be specific: include voltages, distances, materials, or load values where relevant. Example: 'Is 2.5mm2 TPS cable compliant for a 20A circuit in a wall cavity?'
roleNoThe role of the person asking. Affects the depth and terminology of the answer.Journeyman
api_keyNoLegis-Link API key. Use 'dev_local' for testing. Get a free key at https://legis-link-mcp-production-3e9b.up.railway.app
Behavior4/5

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

Despite no annotations, the description discloses return status types and that results include exact code references. It could mention that the tool is read-only and does not modify anything, but overall good.

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?

Single paragraph, well-structured and front-loaded with purpose. Could be slightly more concise, but every sentence adds value without redundancy.

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?

Given the tool's complexity (multiple trades, regions, output types), the description covers key aspects. No output schema, but the return status types are described. Could mention that answers include clause citations and caveats.

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?

Input schema has 100% coverage with descriptions. The tool description adds value by listing trade enum values and providing example question phrasing, though it does not repeat parameter docs.

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 clearly states the tool answers compliance questions with exact code references, specifying supported trades and regions. It distinguishes itself from sibling tools like calculate_technical_spec.

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

Usage Guidelines5/5

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

Explicitly tells when to use (construction compliance queries) and when not to use (numerical calculations, safety checklists), naming alternative tools. Provides clear usage context.

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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