get_notes_by_tag
AI agents call get_notes_by_tag to retrieve information from MCP Server Learning 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 existing data (notes matching a tag filter) with no side effects. It does not create, modify, delete, or execute external operations. Classification as Read is appropriate. Severity is low because retrieving educational notes poses minimal risk even if misused by an AI agent.
From the tool's definition Tool name 'get_notes_by_tag' indicates a retrieval operation that queries notes filtered by tags. The 'get_' prefix is characteristic of Read operations (per rules: search, list, get, fetch).
Attacks that exploit this kind of access
get_notes_by_tag. It is categorised as a Read tool in the MCP Server Learning MCP Server, which means it retrieves data without modifying state.
Register the MCP Server Learning MCP server in PolicyLayer and add a rule for get_notes_by_tag: 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 Server Learning. Nothing to install.
get_notes_by_tag 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_notes_by_tag 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_notes_by_tag. 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_notes_by_tag is provided by the MCP Server Learning MCP server (xstraven/mcp-server-learning). 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.
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