Medium Risk

submit_errand

Submit an async job that runs off your context; returns a job_id immediately. type='fetch_bundle' (fetch up to 8 URLs into one artifact) or 'delay' (ping a callback in N seconds).

Risk signalsAccepts URL/endpoint input (callback_url) · Handles credentials or secrets (secret)

Part of the Gateway server.

submit_errand can modify Gateway data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use submit_errand to create or modify resources in Gateway. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call submit_errand repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Gateway.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "submit_errand": {
      "limits": [
        {
          "counter": "submit_errand_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Gateway policy for all 42 tools.

Get this rule live on your own Gateway 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 submit_errand 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 submit_errand only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the submit_errand tool do? +

Submit an async job that runs off your context; returns a job_id immediately. type='fetch_bundle' (fetch up to 8 URLs into one artifact) or 'delay' (ping a callback in N seconds).. It is categorised as a Write tool in the Gateway MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on submit_errand? +

Register the Gateway MCP server in PolicyLayer and add a rule for submit_errand: 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 Gateway. Nothing to install.

What risk level is submit_errand? +

submit_errand is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit submit_errand? +

Yes. Add a rate_limit block to the submit_errand 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 submit_errand completely? +

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

submit_errand is provided by the Gateway MCP server (https://agent.wingmanprotocol.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 Gateway tool call.

Deterministic rules across all 42 Gateway tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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