Classify a task and determine which governance advisors should review it. Returns the decision type, selected advisors, risk level, and whether constitutional constraints apply. Fast classification without running the full session.
AI agents call check_governance to retrieve information from Boardroom without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
check_governance is a read-only classification and lookup tool. It analyzes a task's properties and returns governance-related metadata (decision type, advisor selection, risk level, constitutional constraints). There are no side effects mentioned—no data is modified, no external code is executed, and no irreversible actions are taken.
From the tool's definition The tool 'Classify a task and determine which governance advisors should review it. Returns the decision type, selected advisors, risk level, and whether constitutional constraints apply.
Attacks that exploit this kind of access
Classify a task and determine which governance advisors should review it. Returns the decision type, selected advisors, risk level, and whether constitutional constraints apply. Fast classification without running the full session. It is categorised as a Read tool in the Boardroom MCP Server, which means it retrieves data without modifying state.
Register the Boardroom MCP server in PolicyLayer and add a rule for check_governance: 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 Boardroom. Nothing to install.
check_governance 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 check_governance 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 check_governance. 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.
check_governance is provided by the Boardroom MCP server (randysalars/boardroom-mcp). 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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