get_financial_data
Per-stock financial statements grouped by period (revenue, profit, eps, etc.) from post-listing financial data.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| stock_code | Yes |
Per-stock financial statements grouped by period (revenue, profit, eps, etc.) from post-listing financial data.
| Name | Required | Description | Default |
|---|---|---|---|
| stock_code | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations and no output schema, the description carries the full burden of behavioral disclosure. It only says the data is per-stock, grouped by period, and from post-listing financial data; it does not describe expected output structure, edge cases, or any operational behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence with no filler, and the key qualifiers per-stock and grouped by period are front-loaded. The word 'etc.' makes it slightly imprecise but acceptable for a summary.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no output schema and no annotations, and the description gives only a high-level summary. It omits how to format stock_code, what the period grouping actually looks like, and whether the result is a table, a list, or something else, leaving an agent without enough detail to reliably invoke it.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate for the single stock_code parameter. It only implies that the parameter selects a stock; it does not explain the required format, accepted identifiers, or any constraints beyond the schema property name.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a clear resource: per-stock financial statements grouped by period, and gives concrete examples of the data (revenue, profit, eps). It is reasonably distinguishable from siblings by its focus on financial statements, though it never explicitly contrasts itself with get_stock_overview or get_stock_summary.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance about when to use this tool versus the many related stock-data siblings, and no exclusions or alternatives are mentioned. The context is implied at best: use it when you need financial statements.
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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