Low Risk

get_job

Retrieve details of an existing job

How to control get_job ↓

AI agents call get_job to retrieve information from SingleStore MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

This tool retrieves information about an existing job without modifying, executing, or deleting any data. The verb 'Retrieve' and the passive framing ('details of an existing job') confirm it is a read-only operation. In the context of a SingleStore/workspace management server, fetching job metadata poses minimal risk to the system.

From the tool's definition Tool name 'get_job' and description 'Retrieve details of an existing job' indicate a query/fetch operation with no side effects.

Documented attack patterns abuse exactly the kind of access get_job gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and SingleStore MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_job:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_job": {}
  }
}

get_job is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register SingleStore MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Go deeper

What does the get_job tool do? +

Retrieve details of an existing job. It is categorised as a Read tool in the SingleStore MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_job? +

Register the SingleStore MCP Server MCP server in PolicyLayer and add a rule for get_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 SingleStore MCP Server. Nothing to install.

What risk level is get_job? +

get_job is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_job? +

Yes. Add a rate_limit block to the get_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.

How do I block get_job completely? +

Set action: deny in the PolicyLayer policy for get_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.

What MCP server provides get_job? +

get_job is provided by the SingleStore MCP Server MCP server (singlestore-labs/mcp-server-singlestore). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every SingleStore MCP Server tool call.

Deterministic rules across all 24 SingleStore MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

24 SingleStore MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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