tdarr_read_job_file

Read a job report

Server Tdarr maximeallanic/tdarr-mcp
Category Read
Risk class Low
Parameters 00 required

What tdarr_read_job_file does on Tdarr

AI agents call tdarr_read_job_file to retrieve information from Tdarr without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why tdarr_read_job_file needs a policy

This tool retrieves and queries job report information from the Tdarr transcoding system. Reading reports is a non-destructive, informational operation with no capability to modify state, execute commands, or cause irreversible changes. The low severity reflects minimal blast radius if misused by an AI agent — it can only access existing job data.

From the tool's definition Tool name contains 'read' and description states 'Read a job report' — purely retrieves existing job report data without modification or side effects.

Questions about tdarr_read_job_file

What does the tdarr_read_job_file tool do? +

Read a job report. It is categorised as a Read tool in the Tdarr MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on tdarr_read_job_file? +

Register the Tdarr MCP server in PolicyLayer and add a rule for tdarr_read_job_file: 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 Tdarr. Nothing to install.

What risk level is tdarr_read_job_file? +

tdarr_read_job_file is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit tdarr_read_job_file? +

Yes. Add a rate_limit block to the tdarr_read_job_file 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.

How do I block tdarr_read_job_file completely? +

Set action: deny in the PolicyLayer policy for tdarr_read_job_file. 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.

What MCP server provides tdarr_read_job_file? +

tdarr_read_job_file is provided by the Tdarr MCP server (maximeallanic/tdarr-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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