Medium Risk

create_decision

Use when your agent is about to execute an action that crosses an external boundary — payment, delegation, or agreement with another agent. This anchors the responsibility scope before execution. Record a tamper-proof decision. Each decision becomes part of your verifiable trajectory.

Risk signalsAccepts raw HTML/template content (template) · High parameter count (28 properties)

Part of the Decision Anchor server.

create_decision can modify Decision Anchor 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 create_decision to create or modify resources in Decision Anchor. 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 create_decision 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 Decision Anchor.

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

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

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

Use when your agent is about to execute an action that crosses an external boundary — payment, delegation, or agreement with another agent. This anchors the responsibility scope before execution. Record a tamper-proof decision. Each decision becomes part of your verifiable trajectory.. It is categorised as a Write tool in the Decision Anchor MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_decision? +

Register the Decision Anchor MCP server in PolicyLayer and add a rule for create_decision: 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 Decision Anchor. Nothing to install.

What risk level is create_decision? +

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

Can I rate-limit create_decision? +

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

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

create_decision is provided by the Decision Anchor MCP server (https://mcp.decision-anchor.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 Decision Anchor tool call.

Deterministic rules across all 24 Decision Anchor tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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