get_batch_script

get_batch_script

Server Remote Terminal tim00r/remote-terminal
Category Read
Risk class Low
Parameters 00 required

What get_batch_script does on Remote Terminal

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

Why get_batch_script needs a policy

Even though get_batch_script only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Questions about get_batch_script

What does the get_batch_script tool do? +

get_batch_script. It is categorised as a Read tool in the Remote Terminal MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_batch_script? +

Register the Remote Terminal MCP server in PolicyLayer and add a rule for get_batch_script: 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 Remote Terminal. Nothing to install.

What risk level is get_batch_script? +

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

Can I rate-limit get_batch_script? +

Yes. Add a rate_limit block to the get_batch_script 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 get_batch_script completely? +

Set action: deny in the PolicyLayer policy for get_batch_script. 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 get_batch_script? +

get_batch_script is provided by the Remote Terminal MCP server (tim00r/remote-terminal). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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