Run TokRepo agent-native evals through the CLI. Verifies filtered search, install-plan contracts, metadata quality reporting, Codex install verification, manifest state, and rollback using temporary local state.
AI agents invoke tokrepo_eval_agent to trigger actions in TokRepo — AI Asset Registry. 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 evaluation and verification operations against external systems (install plans, manifests, Codex installs) and can perform rollback actions that modify local state. While the description emphasizes verification and testing, the ability to 'run' operations and trigger rollbacks places it in Execute rather than Read.
From the tool's definition Tool description states it will 'Run TokRepo agent-native evals through the CLI' and explicitly mentions 'rollback' operations. The phrase 'Run...through the CLI' indicates execution of external operations.
Attacks that exploit this kind of access
Run TokRepo agent-native evals through the CLI. Verifies filtered search, install-plan contracts, metadata quality reporting, Codex install verification, manifest state, and rollback using temporary local state. It is categorised as a Execute tool in the TokRepo — AI Asset Registry MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the TokRepo — AI Asset Registry MCP server in PolicyLayer and add a rule for tokrepo_eval_agent: 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 TokRepo — AI Asset Registry. Nothing to install.
tokrepo_eval_agent 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 tokrepo_eval_agent 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 tokrepo_eval_agent. 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.
tokrepo_eval_agent is provided by the TokRepo — AI Asset Registry MCP server (tokrepo-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 →