AI agents call get_job_result to retrieve information from Unlimited without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool appears to query or retrieve the outcome of an asynchronous job. While the empty description limits certainty, the 'get_' prefix and context suggest read-only data retrieval.
From the tool's definition Tool name 'get_job_result' indicates retrieval of data (result from a previously submitted job). No description provided, but the verb 'get' combined with sibling tools like 'await_job' and 'cancel_job' suggests this retrieves job status or output rather than…
Attacks that exploit this kind of access
get_job_result. It is categorised as a Read tool in the Unlimited MCP Server, which means it retrieves data without modifying state.
Register the Unlimited MCP server in PolicyLayer and add a rule for get_job_result: 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 Unlimited. Nothing to install.
get_job_result 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_job_result 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_job_result. 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_job_result is provided by the Unlimited MCP server (triumsebas/unlimited-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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