suggest_improvements

ServerSchema Gov It MCP Server
CategoryRead

WHAT IT DOES

What suggest_improvements does on Schema Gov It MCP Server

AI agents call suggest_improvements to retrieve information from Schema Gov It MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

THE RISK

Low Risk

Why suggest_improvements needs a policy

The tool performs read-only structural analysis of an ontology, identifying issues and returning diagnostic information. It does not modify, delete, or execute any operations; it purely queries and reports findings.

From the tool's definition 'Analyze the ontology for structural issues' — returns analysis results (possible_cycles, unused_classes, properties_missing_domain_or_range, large_classes_without_scheme) without modifying any data

Documented attack patterns abuse exactly the kind of access suggest_improvements gives an agent:

POLICY

How to control suggest_improvements

PolicyLayer is an MCP gateway — it sits between your AI agents and Schema Gov It MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for suggest_improvements:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "suggest_improvements": {}
  }
}

suggest_improvements is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Schema Gov It MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Schema Gov It MCP Server tools

Execute query_external_endpoint Execute a SPARQL query against any public HTTPS SPARQL endpoint. Args: - endpointUrl: URL Execute query_local_ontology Execute a SPARQL SELECT query against an ontology available on the server filesystem or th Execute query_sparql Execute a RAW SPARQL query against schema.gov.it. Args: - query: The SPARQL query to exec Execute query_uploaded_store Execute a SPARQL SELECT query against a temporary ontology store created via HTTP upload. Write get_upload_instructions Returns the exact curl command to upload a local RDF file to this MCP server and get back Read explore_dataset Get details of a specific Dataset including metadata and distributions. Use this for targ Read navigate_skos_hierarchy Navigate a SKOS hierarchy upward and/or downward from a concept. Args: - uri: Concept URI Read suggest_new_tools Analyze usage logs to suggest new specialized tools. Args: None Returns: - List of recom

All 47 Schema Gov It MCP Server tools →

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about suggest_improvements

What does the suggest_improvements tool do? +

Analyze the ontology for structural issues. Args: - limit: Maximum issues per category (default: 20) Returns: - possible_cycles: Classes with mutual rdfs:subClassOf - unused_classes: Classes with no instances and no subclasses - properties_missing_domain_or_range: Properties with incomplete domain/range declarations - large_classes_without_scheme: Classes with >1000 instances and no evidence of skos:ConceptScheme membership Note: Both analyses run in parallel. It is categorised as a Read tool in the Schema Gov It MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on suggest_improvements? +

Register the Schema Gov It MCP Server MCP server in PolicyLayer and add a rule for suggest_improvements: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Schema Gov It MCP Server. Nothing to install.

What risk level is suggest_improvements? +

suggest_improvements is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit suggest_improvements? +

Yes. Add a rate_limit block to the suggest_improvements rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block suggest_improvements completely? +

Set action: deny in the PolicyLayer policy for suggest_improvements. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides suggest_improvements? +

suggest_improvements is provided by the Schema Gov It MCP Server MCP server (italia/dati-semantic-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Schema Gov It MCP Server tool call.

Start from Schema Gov It MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →

Free to start. No card required.

47 Schema Gov It MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.