AI agents call get_batch to retrieve information from Gpal without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves the status of a batch job, which is a read-only operation with no side effects. It does not execute code, modify data, delete resources, or commit financial transactions. The blast radius of misuse is minimal—an agent could only learn the status of batch operations, not alter or execute them.
From the tool's definition Tool name 'get_batch' and description 'Get the status of a batch job' indicate a query operation that retrieves information about an existing batch without modification or execution.
Documented attack patterns abuse exactly the kind of access get_batch gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Gpal, and nothing reaches the server without passing your rules. This is the rule we recommend for get_batch:
{
"version": "1",
"default": "deny",
"tools": {
"get_batch": {}
}
}get_batch is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get the status of a batch job. It is categorised as a Read tool in the Gpal MCP Server, which means it retrieves data without modifying state.
Register the Gpal MCP server in PolicyLayer and add a rule for get_batch: 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 Gpal. Nothing to install.
get_batch 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_batch 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_batch. 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_batch is provided by the Gpal MCP server (tobert/gpal). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Gpal, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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19 Gpal tools catalogued and risk-classified — across an index of 43,000+ MCP servers.