Medium Risk

grid_create_mandate

Phase 4 settlement (v1, capped at $50/tx). Create a non-custodial spending mandate from buyer_agent_did to seller_agent_did. Returns mandate_id. After create, call grid_route_mandate_for_approval to drop the mandate into the human approval queue. GATED by AEGIS_GRID_P4_SETTLEMENT_ENABLED; returns...

Part of the AiEGIS server.

grid_create_mandate can modify AiEGIS 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 grid_create_mandate to create or modify resources in AiEGIS. 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 grid_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 AiEGIS.

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

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

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These attack patterns abuse exactly the kind of access grid_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 grid_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 grid_create_mandate tool do? +

Phase 4 settlement (v1, capped at $50/tx). Create a non-custodial spending mandate from buyer_agent_did to seller_agent_did. Returns mandate_id. After create, call grid_route_mandate_for_approval to drop the mandate into the human approval queue. GATED by AEGIS_GRID_P4_SETTLEMENT_ENABLED; returns feature_disabled when the flag is off.. It is categorised as a Write tool in the AiEGIS MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on grid_create_mandate? +

Register the AiEGIS MCP server in PolicyLayer and add a rule for grid_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 AiEGIS. Nothing to install.

What risk level is grid_create_mandate? +

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

Can I rate-limit grid_create_mandate? +

Yes. Add a rate_limit block to the grid_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 grid_create_mandate completely? +

Set action: deny in the PolicyLayer policy for grid_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 grid_create_mandate? +

grid_create_mandate is provided by the AiEGIS MCP server (AiEGIS-ie/Grid). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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