Low Risk

explain_verdict

Call this when you need to ACT ON a verdict and prove why. It returns the exact verdict /v1/verify/{node} computes (same fusion, same weights) PLUS a traced evidence chain: every claim is attributed to where it came from — the attested sensor fleet (with attestation tier), a named Augur threat fe...

Risk signalsBulk/mass operation — affects multiple targets

Part of the TunnelMind Data API server.

explain_verdict is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call explain_verdict to retrieve information from TunnelMind Data API without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though explain_verdict only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "explain_verdict": {}
  }
}

See the full TunnelMind Data API policy for all 54 tools.

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

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

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the explain_verdict tool do? +

Call this when you need to ACT ON a verdict and prove why. It returns the exact verdict /v1/verify/{node} computes (same fusion, same weights) PLUS a traced evidence chain: every claim is attributed to where it came from — the attested sensor fleet (with attestation tier), a named Augur threat feed, sellers.json/ads.txt supply-graph presence, the cross-lens co-observation join, the DDG/IAB tracker corpus — and how much each item moved the verdict (weight; null = supplementary, not scored). The response is committed to by a P38 signed receipt via evidence_digest (a hash of the exact evidence array), so an agent can act on the verdict and leave behind a cryptographically verifiable trail of the reasoning in the same request. Empty/none evidence is the honest "no corpus presence", never a fabricated reason. node is an IPv4, ASN, domain, or entity_slug — the same key space as /v1/verify.. It is categorised as a Read tool in the TunnelMind Data API MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on explain_verdict? +

Register the TunnelMind Data API MCP server in PolicyLayer and add a rule for explain_verdict: 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 TunnelMind Data API. Nothing to install.

What risk level is explain_verdict? +

explain_verdict is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit explain_verdict? +

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

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

explain_verdict is provided by the TunnelMind Data API MCP server (https://mcp-data.tunnelmind.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every TunnelMind Data API tool call.

Deterministic rules across all 54 TunnelMind Data API tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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