AI agents call search_bear to retrieve information from MCP Bear without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and displays search results from Bear Notes without creating, modifying, deleting, or executing arbitrary operations. It is a straightforward read operation with minimal blast radius if misused by an AI agent—worst case being display of unintended search results.
From the tool's definition Tool name 'search_bear' and description 'Open Bear and show search results for a term' indicate a query/search operation with no data modification.
Attacks that exploit this kind of access
Open Bear and show search results for a term. It is categorised as a Read tool in the MCP Bear MCP Server, which means it retrieves data without modifying state.
Register the MCP Bear MCP server in PolicyLayer and add a rule for search_bear: 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 MCP Bear. Nothing to install.
search_bear 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_bear 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_bear. 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_bear is provided by the MCP Bear MCP server (maxim-ist/mcp-bear). 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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