Low Risk

verify_outcome

Post-transaction verification using LLM-as-judge. Checks if a service delivered what was promised. Returns completeness score, accuracy score, format compliance, SLA adherence, issues list, and overall pass/fail.

Part of the Zero Core Verify server.

verify_outcome 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 verify_outcome to retrieve information from Zero Core Verify 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 verify_outcome 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": {
    "verify_outcome": {}
  }
}

See the full Zero Core Verify policy for all 5 tools.

Get this rule live on your own Zero Core Verify 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 verify_outcome 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 verify_outcome 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 verify_outcome tool do? +

Post-transaction verification using LLM-as-judge. Checks if a service delivered what was promised. Returns completeness score, accuracy score, format compliance, SLA adherence, issues list, and overall pass/fail.. It is categorised as a Read tool in the Zero Core Verify MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on verify_outcome? +

Register the Zero Core Verify MCP server in PolicyLayer and add a rule for verify_outcome: 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 Zero Core Verify. Nothing to install.

What risk level is verify_outcome? +

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

Can I rate-limit verify_outcome? +

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

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

verify_outcome is provided by the Zero Core Verify MCP server (@meltingpixels/zero-core-verify). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Zero Core Verify tool call.

Deterministic rules across all 5 Zero Core Verify tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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