Search an Anima
AI agents call query to retrieve information from Elephantasm without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries data from the agent's long-term memory system without causing side effects. While the description is incomplete ('Search an Anima' appears truncated), the context of the server (memory and knowledge retrieval) and the clear use of 'search' indicates this is a Read operation.
From the tool's definition The tool is named 'query' and the description indicates 'Search an Anima' (likely referring to a memory/knowledge base within the elephantasm system).
Attacks that exploit this kind of access
Search an Anima. It is categorised as a Read tool in the Elephantasm MCP Server, which means it retrieves data without modifying state.
Register the Elephantasm MCP server in PolicyLayer and add a rule for query: 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 Elephantasm. Nothing to install.
query 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 query 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 query. 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.
query is provided by the Elephantasm MCP server (kaminocorp/elephantasm-mcp). 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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