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MaoBui2907

VNStock MCP Server

by MaoBui2907

get_all_symbols

Retrieve a complete list of all stock symbols from the Vietnam stock market. Specify output format as JSON, dataframe, or optimized for AI.

Instructions

Get all symbols from stock market Args: output_format: Literal['json', 'dataframe', 'toon'] = 'toon' (output format, 'toon' is optimized for AI) Returns: pd.DataFrame or json

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
output_formatNotoon
Behavior2/5

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

No annotations provided, so the description must fully disclose behavior. It mentions the output format 'toon' is optimized for AI, but does not reveal potential limitations such as data volume, rate limits, or pagination. For a tool returning all symbols, this is insufficient.

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 description is extremely concise, using three sentences to state purpose, parameter, and return. It is front-loaded with the main action and avoids unnecessary detail.

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?

Given the simplicity (1 optional param, no output schema), the description covers the basics: what it does, parameter meaning, and return type. However, it lacks context on performance, data size, or usage limitations, which are relevant for a tool that returns all symbols.

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 only parameter, output_format, is described with a brief explanation that 'toon' is optimized for AI, adding meaning beyond the enum values in the schema. Schema description coverage is 0%, so this semantic info is valuable.

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 clearly states it retrieves all symbols from the stock market. The name and description differentiate it from sibling tools like get_all_symbols_by_group or get_all_symbols_detailed, though it does not explicitly contrast them.

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 guidance on when to use this tool vs alternatives like get_all_symbols_detailed or filtered versions. The description lacks context on use cases or exclusions.

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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