Get income statement (revenue, costs, margins, EPS).
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| ticker | Yes | ||
| frequency | No | quarterly | |
| fiscal_year | No |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, and the description does not disclose any behavioral traits beyond the returned data, such as authentication needs or rate limits.
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 extremely short but lacks necessary detail, making it under-specified rather than concise.
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?
Despite an output schema existing, the description fails to cover input parameter semantics, making it insufficient for proper tool usage.
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%, and the description does not explain any of the four parameters, leaving the agent to infer their meaning from names only.
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 clearly specifies the tool returns an income statement with revenue, costs, margins, and EPS, distinguishing it from sibling tools like get_balance_sheet and get_cash_flow.
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?
No guidance is provided on when to use this tool versus alternatives, or any prerequisites needed.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct financial data aspect (e.g., balance sheet vs income statement vs cash flow; different holding types; metrics vs history). No overlapping purposes.
All tools follow verb_noun pattern with snake_case (e.g., get_balance_sheet, compare_metrics). Consistent and predictable.
19 tools is slightly above the typical 3-15 range but covers a broad domain (statements, metrics, holdings, screening). Still reasonable and well-scoped.
Covers most key financial data needs: statements, metrics, insider trades, institutional holdings, screen/search. Minor gaps like earnings estimates or dividend history are absent but core workflows are complete.
