AI agents call governance_score to retrieve information from Odgs without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Based on the tool name and server context (validation engine for compliance), this appears to generate or retrieve a governance score—a metric computation without persistent data modification, deletion, or external side effects.
From the tool's definition Tool name 'governance_score' suggests retrieval/calculation of a governance assessment metric with no side effects. Description is empty, reducing confidence.
Attacks that exploit this kind of access
governance_score. It is categorised as a Read tool in the Odgs MCP Server, which means it retrieves data without modifying state.
Register the Odgs MCP server in PolicyLayer and add a rule for governance_score: 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 Odgs. Nothing to install.
governance_score 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 governance_score 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 governance_score. 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.
governance_score is provided by the Odgs MCP server (metricprovenance/odgs-mcp-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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