Low Risk

get_job_results

Fetch paginated results for a job. Each result has the URL, HTTP status code (null if unreachable), response time in ms, and an error message if the check failed.

Part of the Bulk Url Checker server.

get_job_results is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call get_job_results to retrieve information from Bulk Url Checker without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though get_job_results only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

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

See the full Bulk Url Checker policy for all 4 tools.

Get this rule live on your own Bulk Url Checker server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access get_job_results gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so get_job_results only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the get_job_results tool do? +

Fetch paginated results for a job. Each result has the URL, HTTP status code (null if unreachable), response time in ms, and an error message if the check failed.. It is categorised as a Read tool in the Bulk Url Checker MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_job_results? +

Register the Bulk Url Checker MCP server in PolicyLayer and add a rule for get_job_results: 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 Bulk Url Checker. Nothing to install.

What risk level is get_job_results? +

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

Can I rate-limit get_job_results? +

Yes. Add a rate_limit block to the get_job_results 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_results completely? +

Set action: deny in the PolicyLayer policy for get_job_results. 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_results? +

get_job_results is provided by the Bulk Url Checker MCP server (https://mcp.bulkurlchecker.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Bulk Url Checker tool call.

Deterministic rules across all 4 Bulk Url Checker tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

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