AI agents call list_jobs to retrieve information from Jobs without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns job data based on filters (status, job type) without creating, modifying, deleting, or executing any operations. It is a pure read operation with minimal security risk.
From the tool's definition Tool description states 'List care jobs filtered by status and/or job type' — a retrieval operation with no modification capability. The verb 'list' and the context 'Use this for any query' indicate data retrieval only.
Attacks that exploit this kind of access
List care jobs filtered by status and/or job type. Use this for any query about jobs, assignments or tasks. It is categorised as a Read tool in the Jobs MCP Server, which means it retrieves data without modifying state.
Register the Jobs MCP server in PolicyLayer and add a rule for list_jobs: 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 Jobs. Nothing to install.
list_jobs 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 list_jobs 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 list_jobs. 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.
list_jobs is provided by the Jobs MCP server (xhrusvin/jobs-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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