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jonathanxuu

double-check-mcp

by jonathanxuu

Get verifier platform status

verifier_platform_status
Read-onlyIdempotent

Check the verifier platform's sanitized configuration, policies, audit status, and signing public key to confirm the answer-verification setup is compliant and trusted.

Instructions

只读:查看 verifier_platform 的脱敏配置、策略、审计状态和签名公钥。不会调用模型。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
httpYes
nameYes
auditYes
readyYes
limitsYes
policyYes
signingYes
versionYes
webSearchYes
knowledgeBaseYes
verifierPlatformYes
Install Server

TDQS

A4.3/5.0
Behavior4/5

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

The annotations already convey readOnlyHint, idempotentHint, and destructiveHint=false. The description adds meaningful behavioral context beyond those annotations, especially '不会调用模型' (does not call the model), which is a useful runtime expectation for an agent. Saying '只读' is partially redundant with the annotation, but the overall behavioral disclosure is solid.

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 entire description is one compact sentence, front-loaded with the read-only nature, then listing the specific data categories. It contains no redundant filler and every phrase adds useful information.

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

Completeness5/5

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

For a zero-parameter read-only status tool with an output schema and rich annotations, the description is complete. It states what is exposed, affirms that no model call is made, and lets the output schema define return details. Nothing critical is missing for an agent to invoke this tool correctly.

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

Parameters4/5

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

The tool has zero parameters, so there are no parameter semantics to clarify. The baseline for a zero-parameter tool is 4, and the description does not need to compensate for any parameter documentation gap.

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 names a specific verb ('查看' / view), a specific resource ('verifier_platform'), and enumerates the exact facets returned: desensitized configuration, policies, audit status, and signing public key. This clearly distinguishes it from the sibling verification tools, which perform actions rather than retrieving status.

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

Usage Guidelines3/5

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

The description implies its usage context: use this read-only tool to inspect configuration/status, not to perform verification. However, it does not explicitly contrast itself with the sibling tools 'verifier_platform_verify' or 'verifier_platform_verify_signature', nor does it state situations where those should be preferred.

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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