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AI 客服国标合规知识库 (GB/T 47746—2026)

self_check_list

取 GB/T 47746-2026 的自查清单:企业对照检查自家 AI 客服是否达标。

返回**清单本体**(61 项:id / 条款 / 等级 / 是否一票项 / 要求 / 怎么补),
外加一票项速查与用途说明;解释「61 项怎么来的」那篇原子随附在 explainer 字段。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It does disclose the return shape (61 items with id/clause/level/veto flag/requirement/remediation, plus a veto-item quick reference and an explainer field), implying a read-only, no-argument retrieval, but it says nothing about permissions, auth, or rate limits.

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?

The purpose is front-loaded in the first sentence, followed by the return contents, with no filler. Markdown bolding is used to structure the output enumeration, though the second sentence is dense with detail that partially duplicates the output schema.

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

Completeness4/5

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

With zero parameters and an output schema present, the description need not explain return values, yet it does so anyway, and the purpose is clear. It is essentially complete for a parameterless retrieval tool; only the lack of any routing guidance to siblings keeps it from a 5.

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 takes zero parameters, so the baseline is 4; there is no parameter syntax or meaning for the description to clarify, and the schema is empty.

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?

The description names a specific verb (取/retrieve) and a precise resource (the GB/T 47746-2026 self-check list for AI customer service compliance), which is easily separable from the Q&A-oriented siblings like get_answer and search_answers. However, it never explicitly contrasts itself against standard_info or the answer tools, so it falls short of the top mark.

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?

Usage is only implied by the framing '企业对照检查自家 AI 客服是否达标', which suggests a compliance-checking scenario, but there is no explicit when-to-use, when-not-to-use, or named alternative (e.g. use standard_info for the standard text itself). Minimum-viable 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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