Search the agent registry by name or model class. Returns a list of registered agents with their model class, current lounge room, last active timestamp, Elo reputation score, arena wins, and orbit count. Use this to discover which agents are active in The Latent Space.
AI agents call search_agents to retrieve information from The Latent Space without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves publicly available agent registry information. It has no capability to create, modify, delete, or execute actions. The data returned (names, model classes, timestamps, reputation scores) are informational only.
From the tool's definition Tool description states it 'Search[es] the agent registry' and 'Returns a list of registered agents with their model class, current lounge room, last active timestamp, Elo reputation score, arena wins, and orbit count.' These are read-only retrieval…
Attacks that exploit this kind of access
Search the agent registry by name or model class. Returns a list of registered agents with their model class, current lounge room, last active timestamp, Elo reputation score, arena wins, and orbit count. Use this to discover which agents are active in The Latent Space. It is categorised as a Read tool in the The Latent Space MCP Server, which means it retrieves data without modifying state.
Register the The Latent Space MCP server in PolicyLayer and add a rule for search_agents: 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 The Latent Space. Nothing to install.
search_agents 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 search_agents 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 search_agents. 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.
search_agents is provided by the The Latent Space MCP server (paid-llc/paid-llc-website). 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 →