AI agents invoke run_exam to trigger actions in Proctor. 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.
This tool executes an exam against an MCP server using provided runtime and configuration. Execution of code/operations against external targets with configuration-dependent effects falls under Execute category. Severity is high because exam execution could have broad effects depending on exam content and target server configuration, though it appears designed for testing contexts.
From the tool's definition Tool name 'run_exam' combined with description 'Execute a Proctor exam against an MCP server' and 'Runs the specified exam using the provided runtime and MCP configuration' indicates the tool triggers external operations.
Attacks that exploit this kind of access
Execute a Proctor exam against an MCP server. Runs the specified exam using the provided runtime and MCP configuration. The exam tests the MCP server. It is categorised as a Execute tool in the Proctor MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Proctor MCP server in PolicyLayer and add a rule for run_exam: 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 Proctor. Nothing to install.
run_exam 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 run_exam 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 run_exam. 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.
run_exam is provided by the Proctor MCP server (proctor-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.
Teams ship this data inside their own products. See what a licence covers →