Medium Risk

openmandate_create_mandate

Create a new mandate on OpenMandate. Provide what the user is looking for (want) and what they bring to the table (offer). The user's verified contacts are automatically attached. Returns the mandate with follow-up questions. You MUST relay these questions to the user and collect their actual ans...

Part of the OpenMandate server.

openmandate_create_mandate can modify OpenMandate 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 openmandate_create_mandate to create or modify resources in OpenMandate. 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 openmandate_create_mandate 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 OpenMandate.

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

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

See the full OpenMandate policy for all 15 tools.

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

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so openmandate_create_mandate 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 openmandate_create_mandate tool do? +

Create a new mandate on OpenMandate. Provide what the user is looking for (want) and what they bring to the table (offer). The user's verified contacts are automatically attached. Returns the mandate with follow-up questions. You MUST relay these questions to the user and collect their actual answers before calling openmandate_submit_answers. Do not answer questions on the user's behalf. If the user has no verified contacts, they must add one first at https://openmandate.ai/settings or use openmandate_list_contacts to check.. It is categorised as a Write tool in the OpenMandate MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on openmandate_create_mandate? +

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

What risk level is openmandate_create_mandate? +

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

Can I rate-limit openmandate_create_mandate? +

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

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

openmandate_create_mandate is provided by the OpenMandate MCP server (https://mcp.openmandate.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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