This query retrieves all ontologies in the RDF graph, along with their labels and comments if available.
AI agents call podbc_sparql_list_ontologies to retrieve information from MCP PyODBC Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves metadata about ontologies stored in an RDF graph. It performs no writes, deletions, code execution, or financial operations. The blast radius of misuse is minimal—an agent might retrieve ontology information it shouldn't see, but no data can be modified or systems affected beyond information disclosure. This is a standard Read operation with low severity.
From the tool's definition Tool description states 'retrieves all ontologies in the RDF graph, along with their labels and comments if available.' The verb 'retrieves' and absence of any modification, deletion, or execution language indicate a read-only query operation.
Attacks that exploit this kind of access
This query retrieves all ontologies in the RDF graph, along with their labels and comments if available. It is categorised as a Read tool in the MCP PyODBC Server MCP Server, which means it retrieves data without modifying state.
Register the MCP PyODBC Server MCP server in PolicyLayer and add a rule for podbc_sparql_list_ontologies: 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 MCP PyODBC Server. Nothing to install.
podbc_sparql_list_ontologies is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the podbc_sparql_list_ontologies 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 podbc_sparql_list_ontologies. 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.
podbc_sparql_list_ontologies is provided by the MCP PyODBC Server MCP server (openlinksoftware/mcp-pyodbc-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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