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kevynf

AKBridge MCP Server

by kevynf

bank_fjcf_table_detail

Read-onlyIdempotent

Retrieve administrative penalty disclosure table data for banking and insurance regulatory branch levels, supporting pagination by start page, page count, and entity type.

Instructions

获取 首页-政务信息-行政处罚-银保监分局本级-XXXX行政处罚信息公开表 数据 :param page: 需要获取前 page 页的内容,总页数请通过 ak.bank_fjcf_total_page() 获取 :type page: int :param item: choice of {"机关", "本级", "分局本级"} :type item: str :param begin: 开始页面 :type begin: int :return: 返回所有行政处罚信息公开表的集合,按第一页到最后一页的顺序排列 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemNo分局本级
pageNo
beginNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds that results are ordered from first to last page and returned as a pandas.DataFrame, but says nothing about rate limits, auth, or failure behavior.

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

Conciseness3/5

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

The purpose is front-loaded in the first line, which is good, but the body is epydoc boilerplate (:type/:rtype lines) that repeats parameter information and pads the definition. It is serviceable rather than tight.

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 usefully states the return is a page-ordered collection of the disclosure tables. For a read-only scraping tool with three optional params, this is adequate but thin on how 'page' and 'begin' interact and on default behavior.

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 0%, so the description must carry the load and it does so partly: it documents 'page' (fetch first N pages) and supplies the allowed 'item' values {"机关","本级","分局本级"} that the schema lacks. But 'begin' is left as the vague '开始页面' with no explanation of how it differs from 'page', and defaults are unexplained.

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 (获取/get) and a concrete resource (首页-政务信息-行政处罚-银保监分局本级行政处罚信息公开表), so an agent knows exactly what dataset is returned. It is clear but offers no differentiation from siblings, mainly because no genuinely competing tool exists in the sibling list.

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?

It implicitly tells the agent that pagination must be resolved first via ak.bank_fjcf_total_page(), which is a useful usage hint. However it never states when to use this tool versus alternatives or any prerequisites, so guidance is implied rather than explicit.

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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