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makiichikawa

stock-mcp-server

by makiichikawa

get_financial_data

Get comprehensive financial data and fundamental analysis metrics for a stock symbol to support investment decisions.

Instructions

Get comprehensive financial data and fundamental analysis metrics for a stock

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesStock symbol (e.g., AAPL, GOOGL, TSLA)
Install Server

TDQS

C2.9/5.0
Behavior2/5

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

There are no annotations, so the description bears the full burden of behavioral disclosure. Saying 'Get' implies a read operation, but the description does not disclose output structure, data scope, time period, data source, potential delays, or any special behaviors. It is not contradtory, but it provides only minimal behavioral context.

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 one clean, front-loaded sentence with no filler. It earns its place by stating the operation and general scope. There is no unnecessary detail or repetition of schema fields.

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?

With no output schema and no annotations, the description should explain what 'comprehensive financial data and fundamental analysis metrics' actually includes or returns. It is vague enough that an agent cannot predict whether it returns price history, ratios, financial statements, or all of the above. The presence of many specialized sibling tools makes this ambiguity more costly.

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?

The schema already covers the single parameter 'symbol' with a clear description and examples, so schema coverage is 100%. The tool description adds little beyond referring to 'a stock', and the schema already conveys that. Baseline 3 is appropriate because no additional parameter nuance is needed, but the description also contributes no extra meaning.

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 states a clear verb ('Get') and resource ('financial data and fundamental analysis metrics for a stock'), so the agent understands the general operation. However, it does not explicitly differentiate this from siblings like get_stock_price, get_earnings_guidance, or get_10k_earnings_guidance beyond using the word 'comprehensive', so it misses the full sibling-distinguishing specificity.

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 is provided about when to use this tool versus alternatives. The description only says what the tool retrieves, not when it is preferred over get_stock_price or get_earnings_guidance, nor when it should not be used. This leaves the agent to infer usage entirely from the name and vague scope.

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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