AI agents call find_code_examples to retrieve information from Bear Notes MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Despite empty description, the tool name and context strongly indicate this retrieves code examples from stored notes. Similar to the sibling 'find_kubernetes_examples' tool, this appears to be a search/retrieval operation. There is no evidence of modification, deletion, code execution, or financial impact.
From the tool's definition Tool name 'find_code_examples' suggests retrieval of existing code examples. Sibling tools on this server (find_kubernetes_examples, find_notes_by_title, get_bear_note, get_recent_notes, search_bear_notes) are all Read operations that retrieve data without…
Documented attack patterns abuse exactly the kind of access find_code_examples gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Bear Notes MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for find_code_examples:
{
"version": "1",
"default": "deny",
"tools": {
"find_code_examples": {}
}
}find_code_examples is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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find_code_examples. It is categorised as a Read tool in the Bear Notes MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Bear Notes MCP Server MCP server in PolicyLayer and add a rule for find_code_examples: 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 Bear Notes MCP Server. Nothing to install.
find_code_examples 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 find_code_examples 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 find_code_examples. 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.
find_code_examples is provided by the Bear Notes MCP Server MCP server (netologist/mcp-bear-notes). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Bear Notes MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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7 Bear Notes MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.