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Lex: Luxembourg Law MCP Server

by lu.soufien.law
OverviewDiscussionsAdmin

classification

The publisher's typed facts about a Luxembourg work, verbatim: document type, RDF types, legal value, responsible body, historical identifiers, publication and document dates.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "identifier": "<identifier>"
    },
    "name": "classification"
  }
}

Input Schema

NameRequiredDescriptionDefault
languageNo
identifierYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It adds that the facts are verbatim and publisher-typed, but does not explicitly state read-only behavior, error handling, or return structure.

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 efficient sentence with no filler, but it leads with “The publisher's typed facts” rather than front-loading an action or return statement. The field list is compact and useful.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has two parameters and no annotations or output schema, yet the description only describes the data content. It omits parameter meaning and return behavior, so an agent lacks enough information to invoke it confidently.

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

Parameters2/5

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

Schema description coverage is 0%, and the description does not explain the required identifier or optional language parameters. The phrase “Luxembourg work” weakly implies a work identifier, but language is entirely unexplained.

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 identifies a specific resource: publisher-supplied classification facts for a Luxembourg work, and enumerates the fields returned. It is distinguishable from broad siblings like search or provenance, though it lacks an explicit retrieval verb.

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 such as provenance, citation, status_on, or dossier. Usage is only implied by the listed content.

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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