Medium Risk

create_commitment

Hash compliance status into ZK commitment. Proves state without revealing details.

Part of the Zkevidenceoracle server.

create_commitment can modify Zkevidenceoracle 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_commitment to create or modify resources in Zkevidenceoracle. 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_commitment 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 Zkevidenceoracle.

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

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

See the full Zkevidenceoracle policy for all 14 tools.

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View all 14 tools →

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

Hash compliance status into ZK commitment. Proves state without revealing details.. It is categorised as a Write tool in the Zkevidenceoracle 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_commitment? +

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

What risk level is create_commitment? +

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

Can I rate-limit create_commitment? +

Yes. Add a rate_limit block to the create_commitment 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_commitment completely? +

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

create_commitment is provided by the Zkevidenceoracle MCP server (https://tooloracle.io/zk/mcp/). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Zkevidenceoracle tool call.

Deterministic rules across all 14 Zkevidenceoracle 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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