Get available runtimes and exams for Proctor testing. Returns the list of available runtime environments (Docker images) and exam types. Returns: - runtimes: Array of runtime configurations with id, name, and Docker image - exams: Array of exam types with id, name, and description Use cases: - Di...
AI agents call get_proctor_metadata to retrieve information from Langfuse Observability without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool purely queries and retrieves configuration metadata about available testing environments and exam types. It performs no writes, executions, deletions, or financial operations. The blast radius of misuse is minimal—an agent could at most enumerate available resources, which is informational only.
From the tool's definition Tool returns lists of 'available runtimes' and 'exam types' with metadata (id, name, Docker image, description). Verbs are 'Get', 'Returns', 'Discover', 'Find', 'Check' — all read operations with no modifications, deletions, or side effects.
Attacks that exploit this kind of access
Get available runtimes and exams for Proctor testing. Returns the list of available runtime environments (Docker images) and exam types. Returns: - runtimes: Array of runtime configurations with id, name, and Docker image - exams: Array of exam types with id, name, and description Use cases: - Discover available runtime environments - Find the correct exam ID for a specific test type - Check which runtime versions are available. It is categorised as a Read tool in the Langfuse Observability MCP Server, which means it retrieves data without modifying state.
Register the Langfuse Observability MCP server in PolicyLayer and add a rule for get_proctor_metadata: 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 Langfuse Observability. Nothing to install.
get_proctor_metadata 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 get_proctor_metadata 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 get_proctor_metadata. 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.
get_proctor_metadata is provided by the Langfuse Observability MCP server (langfuse-observability-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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