Medium Risk

agentra_set_mandate

Create or update spending mandates that define your agent's autonomous transaction boundaries. Mandates enforce: max per-transaction amount, daily spending cap, allowed recipient types, minimum counterparty reputation score, and expiration. Your human operator sets these; your agent operates with...

Part of the Agentra server.

agentra_set_mandate can modify Agentra 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 agentra_set_mandate to create or modify resources in Agentra. 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 agentra_set_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 Agentra.

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

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

See the full Agentra policy for all 6 tools.

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These attack patterns abuse exactly the kind of access agentra_set_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 agentra_set_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 agentra_set_mandate tool do? +

Create or update spending mandates that define your agent's autonomous transaction boundaries. Mandates enforce: max per-transaction amount, daily spending cap, allowed recipient types, minimum counterparty reputation score, and expiration. Your human operator sets these; your agent operates within them. require_counterparty_kya defaults to true. Recommended: true. This recruits counterparties into verification.. It is categorised as a Write tool in the Agentra MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on agentra_set_mandate? +

Register the Agentra MCP server in PolicyLayer and add a rule for agentra_set_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 Agentra. Nothing to install.

What risk level is agentra_set_mandate? +

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

Can I rate-limit agentra_set_mandate? +

Yes. Add a rate_limit block to the agentra_set_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 agentra_set_mandate completely? +

Set action: deny in the PolicyLayer policy for agentra_set_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 agentra_set_mandate? +

agentra_set_mandate is provided by the Agentra MCP server (https://api.agentrapay.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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