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kevynf

AKBridge MCP Server

by kevynf

option_sse_underlying_spot_price_sina

Read-onlyIdempotent

Fetches real-time spot prices for SSE option underlyings (e.g., 50ETF, 300ETF) from Sina.

Instructions

期权标的物的实时数据 :param symbol: sh510050 or sh510300 :type symbol: str :return: 期权标的物的信息 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolNosh510300
Behavior3/5

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

Annotations already indicate readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds that the data is 'real-time' and that it returns a pandas DataFrame, which is slightly beyond annotations. However, it mostly duplicates the title and does not disclose more about data source behavior or limitations, yet it does not contradict annotations.

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 description is very brief and follows a docstring structure with param and return sections. It is front-loaded with the purpose, but the first sentence exactly repeats the title annotation, so it does not add new information at the start. Still, it is free of fluff and well-organized for a simple tool.

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

Completeness2/5

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

The description lacks detail about the DataFrame contents (columns, meaning of the data), the interpretation of the symbol values (e.g., that they are ETF codes), and does not clarify the distinction from similar option tools. Since there is no output schema, the description should carry more explanatory burden, but it only gives vague 'information about the underlying asset'.

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 input schema has one parameter with a default but no description. The description explicitly lists two valid values (sh510050, sh510300), which adds meaning not present in the schema. This is helpful for an agent to know the expected format, though it does not explain what each symbol represents.

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 'Real-time data of options underlying asset' identifies the specific resource (underlying spot data) and implicitly distinguishes from sibling tools like option_sse_spot_price_sina via the word 'underlying'. However, it lacks an explicit verb like 'get' or 'retrieve', and the noun-phrase style makes it more of a title than a clear action.

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?

There is no guidance on when to use this tool versus alternatives. The description only provides parameter examples (sh510050, sh510300) but does not explain when this tool is appropriate compared to the many sibling option tools, nor does it mention exclusions or prerequisites.

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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