Get all entity extraction jobs with optional status filtering. Shows job queue, running jobs, completed extractions, and failed jobs. Useful for monitoring background extraction progress across all documents.
AI agents call get_extraction_jobs to retrieve information from TDZ C64 Knowledge without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs read-only monitoring and status queries of background job states. It retrieves information about extraction progress but does not create, modify, delete, or execute operations. The blast radius of misuse is minimal—an agent could repeatedly poll the status endpoint but cannot disrupt system integrity or data.
From the tool's definition Tool retrieves and displays extraction job status and history ("Get all entity extraction jobs", "Shows job queue, running jobs, completed extractions, and failed jobs"). No modification, deletion, or external execution occurs.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
Get all entity extraction jobs with optional status filtering. Shows job queue, running jobs, completed extractions, and failed jobs. Useful for monitoring background extraction progress across all documents. It is categorised as a Read tool in the TDZ C64 Knowledge MCP Server, which means it retrieves data without modifying state.
Register the TDZ C64 Knowledge MCP server in PolicyLayer and add a rule for get_extraction_jobs: 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 TDZ C64 Knowledge. Nothing to install.
get_extraction_jobs 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_extraction_jobs 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_extraction_jobs. 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_extraction_jobs is provided by the TDZ C64 Knowledge MCP server (michaeltroelsen/tdz-c64-knowledge). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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