Get detail of a job by ID of job
AI agents call get_detail_job to retrieve information from Rework MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves job details by ID, which is a read-only query operation. It has no capacity to create, modify, delete, or execute operations. The low severity reflects minimal risk even if misused by an AI agent, as it only retrieves existing data without side effects.
From the tool's definition Tool name 'get_detail_job' and description 'Get detail of a job by ID of job' indicate retrieval of job information with no modification or side effects.
Attacks that exploit this kind of access
Get detail of a job by ID of job. It is categorised as a Read tool in the Rework MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Rework MCP Server MCP server in PolicyLayer and add a rule for get_detail_job: 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 Rework MCP Server. Nothing to install.
get_detail_job 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_detail_job 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_detail_job. 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_detail_job is provided by the Rework MCP Server MCP server (rework-com/rework-mcp-server). 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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