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Verify a Privi Quantum attestation

quantum_verify
Read-only

Check both post-quantum signatures, the body hash, and the on-chain anchor of a result. Paid per call via x402 when payments are on (see quantum_pricing).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "quantum_verify"
  }
}

Input Schema

NameRequiredDescriptionDefault
attestationNoOr a full attestation object (from GET /attestations/<id>) to check offline
attestation_idNoAn attestation id (qa_...) issued by this server

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations only declare readOnlyHint and openWorldHint; the description adds genuinely new behavior by disclosing that calls are metered and paid through x402 when payments are enabled, plus a pointer to quantum_pricing for cost. That explains the open-world network dependency and the billing consequence. It does not say what happens on a failed check or what the verdict looks like.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences, front-loaded with the substance (what is verified) and the cost note last. No filler. The phrase 'of a result' is the only soft spot, since it leaves the verified object ambiguous where 'attestation' would have been exact.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description carries the burden of explaining the return value, and it never states whether the tool returns a boolean verdict, a per-check breakdown, or failure reasons. For a read-only verification tool with zero required params this is callable, but an agent cannot predict what it will get back.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, and the schema already explains that attestation_id is a qa_... id issued by the server and that a full attestation object enables offline checking. The description adds nothing about choosing between the two optional inputs or about precedence when both are supplied, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verification action and enumerates exactly what is checked: both post-quantum signatures, the body hash, and the on-chain anchor. That is far more precise than a bare "verify" label, though the description never names the resource as an 'attestation' (only 'a result') and offers no differentiation from siblings like qagent_verify or vault_receipt.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to reach for this tool versus the many sibling verifiers, nor any prerequisite beyond the payment note. The one conditional given ('paid per call via x402 when payments are on') is a cost condition, not a usage-routing rule, so the agent still has to infer when this is the right call.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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