Call FIRST at session start (once). Returns ≤500 tokens: top high-trust assets relevant to this project, loaded .tokrepo/agent.json memory pointer, recent handoffs, and policy pack URL. Treat output as authoritative capability inventory for the session. [[tokrepo.session-init-first]]
AI agents call tokrepo_session_init to retrieve information from TokRepo — AI Asset Registry without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool initializes a session by reading and returning contextual data (assets, memory pointers, handoffs, policy URLs). It is fundamentally a read/fetch operation with no direct side effects.
From the tool's definition Returns ≤500 tokens: top high-trust assets relevant to this project, loaded .tokrepo/agent.json memory pointer, recent handoffs, and policy pack URL. Treat output as authoritative capability inventory for the session.
Attacks that exploit this kind of access
Call FIRST at session start (once). Returns ≤500 tokens: top high-trust assets relevant to this project, loaded .tokrepo/agent.json memory pointer, recent handoffs, and policy pack URL. Treat output as authoritative capability inventory for the session. [[tokrepo.session-init-first]]. It is categorised as a Read tool in the TokRepo — AI Asset Registry MCP Server, which means it retrieves data without modifying state.
Register the TokRepo — AI Asset Registry MCP server in PolicyLayer and add a rule for tokrepo_session_init: 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_session_init 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 tokrepo_session_init 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_session_init. 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_session_init 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 →