AI agents call tdarr_get_filescanner_status 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.
This tool retrieves the current status of an ongoing file scanning operation. It queries state without modifying, creating, deleting, or executing external operations. The action is purely informational and poses minimal risk if misused by an AI agent.
From the tool's definition Tool name 'tdarr_get_filescanner_status' and description 'Get the status of a file scanner in progress' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
Get the status of a file scanner in progress. It is categorised as a Read tool in the Tdarr MCP Server, which means it retrieves data without modifying state.
Register the Tdarr MCP server in PolicyLayer and add a rule for tdarr_get_filescanner_status: 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.
tdarr_get_filescanner_status 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 tdarr_get_filescanner_status 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 tdarr_get_filescanner_status. 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.
tdarr_get_filescanner_status 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.
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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