AI agents call store_search to retrieve information from Willow without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
store_search performs full-text search on stored data, which is a read-only retrieval operation. It has no side effects, does not modify data, and does not execute code or external operations. The AND logic constraint further limits blast radius by ensuring only precise matches are returned.
From the tool's definition "Full-text search within a single collection" - a query operation that retrieves data without modifying, deleting, or executing external operations.
Attacks that exploit this kind of access
Full-text search within a single collection. All query tokens must match (AND logic). It is categorised as a Read tool in the Willow MCP Server, which means it retrieves data without modifying state.
Register the Willow MCP server in PolicyLayer and add a rule for store_search: 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 Willow. Nothing to install.
store_search 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 store_search 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 store_search. 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.
store_search is provided by the Willow MCP server (rudi193-cmd/willow-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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