Extract deadlines and due dates from any text using AI. Automatically calculates working days remaining and assigns risk levels. Use this for emails, meeting notes, project plans, or any text containing time-sensitive information.
AI agents call extract_deadlines to retrieve information from Multi-Agent RAG MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs semantic analysis and information extraction from provided text to identify and classify deadlines. It reads/analyzes input data and returns computed results without creating, modifying, deleting, or executing external operations. The calculation of risk levels is analytical output, not a destructive or write operation.
From the tool's definition Tool description states it 'Extract[s] deadlines and due dates from any text' and 'Automatically calculates working days remaining and assigns risk levels.' The verb 'extract' and the passive analysis of existing text indicates data retrieval with no…
Attacks that exploit this kind of access
Extract deadlines and due dates from any text using AI. Automatically calculates working days remaining and assigns risk levels. Use this for emails, meeting notes, project plans, or any text containing time-sensitive information. It is categorised as a Read tool in the Multi-Agent RAG MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Multi-Agent RAG MCP Server MCP server in PolicyLayer and add a rule for extract_deadlines: 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 Multi-Agent RAG MCP Server. Nothing to install.
extract_deadlines 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_deadlines 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_deadlines. 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_deadlines is provided by the Multi-Agent RAG MCP Server MCP server (tsarri/rag-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
extract_deadlines is one line of Multi-Agent RAG MCP Server's registry record.
The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.
Teams ship this data inside their own products. See what a licence covers →