extract_action_items
AI agents call extract_action_items to retrieve information from Granola MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool extracts or retrieves action items from stored meeting data. Extraction is a read operation with no side effects—it does not modify, delete, or execute external operations. The Granola server is designed for querying and retrieving meeting information only.
From the tool's definition Tool name 'extract_action_items' and server description indicating it retrieves 'action items' from meeting notes.
Attacks that exploit this kind of access
extract_action_items. It is categorised as a Read tool in the Granola MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Granola MCP Server MCP server in PolicyLayer and add a rule for extract_action_items: 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 Granola MCP Server. Nothing to install.
extract_action_items 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 extract_action_items 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 extract_action_items. 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.
extract_action_items is provided by the Granola MCP Server MCP server (nimblebraininc/mcp-granola). 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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