AI agents call get_archived_notes 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 only queries and retrieves archived notes from the Bear Notes database without creating, modifying, deleting, or executing any operations. It has no side effects beyond data retrieval, fitting the 'Read' category. Severity is low because retrieving note metadata poses minimal risk even if misused by an AI agent.
From the tool's definition Tool name 'get_archived_notes' with description 'Get all archived notes' performs data retrieval with no modification.
Attacks that exploit this kind of access
Get all archived notes. 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 get_archived_notes: 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.
get_archived_notes 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 get_archived_notes 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 get_archived_notes. 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.
get_archived_notes 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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