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jonathanxuu

double-check-mcp

by jonathanxuu

Verify and sign an answer

verifier_platform_verify

Independently re-check model answers and reasoning using local knowledge base and optional web search, then return a verdict, confidence score, and Ed25519-signed evidence for audit.

Instructions

把外部主模型生成的回答和完整可审计 reasoning 交给独立 verifier_platform 核查。question、answer、reasoning 均为必填。工具会先检索服务端配置的 UOB 本地知识库;webSearch 支持 enabled、maxResults(5 或 10)和可选 query,联网搜索复用服务端 DeepSeek API Key。返回本地知识库命中、联网来源、confidence、verdict、修正答案及 Ed25519 签名。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
answerYes
contextNo
questionYes
executionNo
reasoningYes
requestIdNo
webSearchNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
runIdYes
policyYes
payloadYes
signedAtYes
signatureYes
tracePathNo
webSearchYes
publicKeyPemYes
verificationYes
knowledgeBaseYes
Install Server

TDQS

A4.1/5.0
Behavior4/5

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

The description adds meaningful behavioral detail beyond the annotations: it retrieves from a server-side UOB local knowledge base first, reuses the server-side DeepSeek API Key for web search, and returns an Ed25519 signature. It does not contradict the annotations, though it omits potential side effects or rate-limit considerations.

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

Conciseness5/5

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

The description is compact, front-loaded with the core purpose, and every clause adds useful information. It packs required fields, behavior, webSearch semantics, and return contents into a short, readable paragraph without redundancy.

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?

The main call path is well covered: required inputs, knowledge-base retrieval, optional web search, and signed output. But the tool has 7 parameters and a complex nested execution object that is never mentioned, and the guidance could more explicitly address when to prefer the sibling tools. The output schema mitigates the return-value gap, but parameter coverage remains incomplete.

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?

With 0% schema description coverage, the description must compensate, and it does for question, answer, reasoning, and webSearch—including the maxResults 5/10 constraint and optional query. However, it completely omits context, execution, and requestId, leaving the nested execution object undocumented and the agent without guidance on how to supply audit metadata.

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

Purpose5/5

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

The description clearly states a specific action—verifying and signing an externally generated answer with auditable reasoning—and names the independent verifier_platform resource. It also distinguishes the tool from its siblings by emphasizing the signing output and the verification workflow.

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

Usage Guidelines4/5

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

The description gives clear context: use this tool when an external model's answer needs independent verification and a signed result. It does not explicitly discuss when to use verifier_platform_verify_signature or verifier_platform_status instead, so it stops short of full exclusionary guidance.

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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