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Schema.gov.it MCP Server

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by italia

Compare schema.gov.it Coverage with OKG

compare_coverage_with_okg
Read-onlyIdempotent

Identify gaps in schema.gov.it coverage by comparing its semantic resources against the international OKG catalog for a specific domain, showing covered and missing standards.

Instructions

Gap analysis: compare schema.gov.it semantic resources against the international OKG catalog for a given domain.

How it works:

  1. Fetches OKG resources for the given category

  2. For resources that have a Wikidata ID, queries schema.gov.it for matching owl:sameAs / skos:exactMatch links

  3. Classifies each OKG resource as "covered" (linked in schema.gov.it) or "gap" (not linked)

Args:

  • category: OKG thematic category to analyze

  • limit: Max OKG resources to fetch (default: 50)

Returns:

  • summary: total, covered count, gap count, coverage percentage

  • covered: OKG resources already linked in schema.gov.it (with local URI and relation type)

  • gaps: OKG resources with no corresponding link in schema.gov.it

  • without_wikidata: OKG resources without a Wikidata ID (cannot be cross-referenced automatically)

Available categories: fetched dynamically from api.openknowledgegraphs.com at runtime.

Use when: Assessing which international standards are missing in schema.gov.it for a specific domain, or prioritizing new ontology and vocabulary contributions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax OKG resources to fetch (default: 50)
categoryYesOKG thematic category to analyze
Behavior5/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint, establishing a safe, idempotent, read-only operation. The description goes further by detailing the three-step workflow, explaining that categories are fetched dynamically, and noting that resources without Wikidata IDs cannot be cross-referenced. No contradiction with annotations.

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?

The description is well-structured with clear headings: 'How it works', 'Args', 'Returns', 'Available categories', and 'Use when'. It is concise yet complete, with no unnecessary sentences.

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?

Given the tool's moderate complexity, no output schema, and two parameters, the description fully covers the return structure (summary, covered, gaps, without_wikidata), explains the dynamic nature of categories, and provides usage context. It is adequately complete for an AI agent to invoke and interpret 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?

Input schema covers both parameters with descriptions (100% coverage). The description adds value by explaining the 'limit' default (50), noting that 'category' comes from a dynamic list, and providing a 'Returns' section that clarifies the output structure. This exceeds what the schema alone provides.

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 'Gap analysis: compare schema.gov.it semantic resources against the international OKG catalog for a given domain.' This is a specific verb-resource combination that distinguishes the tool from siblings like 'check_coverage' or 'check_overlaps' by naming the external catalog.

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

Usage Guidelines4/5

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

The 'Use when' section provides explicit guidance: 'Assessing which international standards are missing in schema.gov.it for a specific domain, or prioritizing new ontology and vocabulary contributions.' While clear, it does not mention when not to use this tool or suggest specific alternatives.

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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