company_overview
Retrieve company overview data including business description, financial metrics, and key statistics for stock market analysis.
Instructions
Fetch company overview
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| symbol | Yes |
Retrieve company overview data including business description, financial metrics, and key statistics for stock market analysis.
Fetch company overview
| Name | Required | Description | Default |
|---|---|---|---|
| symbol | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Fetch' implies a read-only operation, but the description doesn't specify any behavioral traits such as data sources, rate limits, authentication needs, or error handling. This leaves the agent with minimal operational context.
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 concise with just two words, making it front-loaded and efficient. There's no wasted verbiage, though this brevity contributes to gaps in other dimensions.
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?
Given the complexity of financial data tools, no annotations, no output schema, and low schema coverage, the description is incomplete. It doesn't cover what the overview includes, how it differs from other tools, or any behavioral aspects, leaving significant gaps for an AI agent.
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?
The input schema has 1 parameter with 0% description coverage, and the tool description doesn't mention the parameter at all. It fails to explain what 'symbol' represents (e.g., stock ticker, company identifier) or provide any semantic context beyond the bare schema.
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 'Fetch company overview' states a clear verb ('fetch') and resource ('company overview'), but it's vague about what specific information constitutes the overview. It doesn't differentiate from sibling tools like 'balance_sheet', 'income_statement', or 'stock_quote', which might provide overlapping financial data.
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?
The description provides no guidance on when to use this tool versus alternatives. With many sibling tools related to company data (e.g., 'balance_sheet', 'earnings_calendar', 'news_sentiment'), there's no indication of what makes this tool unique or when it's preferred over others.
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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