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build_merkle_tree

Build merkle tree from all active evidence. Root hash proves evidence exists.

Risk signalsAdmin/system-level operation

Part of the Zkevidenceoracle server.

build_merkle_tree can trigger actions in Zkevidenceoracle, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke build_merkle_tree to trigger processes or run actions in Zkevidenceoracle. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

build_merkle_tree can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "build_merkle_tree": {
      "limits": [
        {
          "counter": "build_merkle_tree_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Zkevidenceoracle policy for all 14 tools.

Get this rule live on your own Zkevidenceoracle server in minutes. PolicyLayer enforces it on every call, before it runs.

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View all 14 tools →

These attack patterns abuse exactly the kind of access build_merkle_tree 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 build_merkle_tree only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the build_merkle_tree tool do? +

Build merkle tree from all active evidence. Root hash proves evidence exists.. It is categorised as a Execute tool in the Zkevidenceoracle MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on build_merkle_tree? +

Register the Zkevidenceoracle MCP server in PolicyLayer and add a rule for build_merkle_tree: 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 build_merkle_tree? +

build_merkle_tree is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit build_merkle_tree? +

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

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

build_merkle_tree 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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