Skip to main content
Glama
kevynf

AKBridge MCP Server

by kevynf

fund_etf_hist_sina

Read-onlyIdempotent

Fetch daily historical market data for a specified ETF fund symbol from Sina Finance to analyze past price trends.

Instructions

新浪财经-基金-ETF 基金-日行情数据 https://finance.sina.com.cn/fund/quotes/159996/bc.shtml :param symbol: 基金名称,可以通过 ak.fund_etf_category_sina() 函数获取 :type symbol: str :return: 日行情数据 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolNosh510050

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

B3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true and destructiveHint=false, so the safety profile is covered structurally. The description adds the upstream source URL and that the return is a pandas.DataFrame of daily quotes, mild extra context but no rate-limit, coverage, or date-range 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 description is short and front-loads the resource, but it is a raw docstring with a bare URL and an ':rtype: pandas.DataFrame' line that restate obvious information. Some trimming/reformatting would improve density.

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?

For a single-parameter, annotation-covered read tool with no output schema, the definition covers source, parameter sourcing, and return type. It stops short of describing the DataFrame columns, date coverage, or limits, which an agent would need for correct downstream use.

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?

With one parameter at 0% schema coverage, the description carries the load and does add value: it identifies 'symbol' as a fund name and points to ak.fund_etf_category_sina() as the source of valid values, which the bare schema (default 'sh510050') does not convey. It still omits accepted symbol format nuances for a code-style input.

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

Purpose3/5

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

The title/description names a specific resource ('新浪财经-基金-ETF 基金-日行情数据') and the verb is implied by '日行情数据' (daily quote data), so an agent knows it retrieves ETF daily history from Sina. However, it does not distinguish itself from close siblings such as fund_etf_hist_em, fund_etf_hist_min_em, or fund_etf_spot_em, leaving selection ambiguous.

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?

No statement of when to use this tool versus the East Money or THS ETF-history variants, and no scope/frequency qualifiers. The only guidance is how to obtain the symbol via ak.fund_etf_category_sina(), which is parameter sourcing rather than usage context.

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

Deploy Server

Other Tools