Read a finished job
AI agents call get_job_result to retrieve information from Flint Slating without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves the result of a completed job. It does not modify, delete, or execute anything; it only queries and returns previously computed data. The context of a PDF reading server (flint-slating) further supports this as a data retrieval operation. The sibling tools (cancel_job, get_job_status) are unrelated to this tool's function.
From the tool's definition Tool name is 'get_job_result' and description states 'Read a finished job' — uses the word 'Read' explicitly, indicating data retrieval with no side effects.
Attacks that exploit this kind of access
Read a finished job. It is categorised as a Read tool in the Flint Slating MCP Server, which means it retrieves data without modifying state.
Register the Flint Slating 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 Flint Slating. 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 Flint Slating MCP server (parkviewlab/flint-slating). 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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