Execute a SPARQL SELECT query against an ontology available on the server filesystem or through HTTP upload. Quale modalita di input usare: - stdio / stessa macchina → \
AI agents invoke query_local_ontology to trigger actions in Schema Gov It MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
The tool executes arbitrary SPARQL queries against local ontology files. While SPARQL SELECT is read-only by design, the tool runs user-supplied query strings against server filesystem resources, which constitutes arbitrary code/query execution. Malicious or malformed queries could cause resource exhaustion, expose sensitive ontology data from the filesystem, or be used to probe the server environment.
From the tool's definition "Execute a SPARQL SELECT query against an ontology available on the server filesystem or through HTTP upload"
Documented attack patterns abuse exactly the kind of access query_local_ontology gives an agent:
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 query_local_ontology:
{
"version": "1",
"default": "deny",
"tools": {
"query_local_ontology": {
"limits": [
{
"counter": "query_local_ontology_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}query_local_ontology stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Execute a SPARQL SELECT query against an ontology available on the server filesystem or through HTTP upload. Quale modalita di input usare: - stdio / stessa macchina → \. It is categorised as a Execute tool in the Schema Gov It MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Schema Gov It MCP Server MCP server in PolicyLayer and add a rule for query_local_ontology: 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.
query_local_ontology is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the query_local_ontology 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.
Set action: deny in the PolicyLayer policy for query_local_ontology. 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.
query_local_ontology 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.
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.
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47 Schema Gov It MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.