get_company_profile

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

No annotations are provided, so the description must disclose behavioral traits on its own. It only states what the tool returns and does not mention potential side effects, authentication requirements, data freshness, error behavior, or whether the operation is read-only. This lack of behavioral detail is a significant gap.

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, well-structured sentence that front-loads the core purpose and includes key examples of expected data. Every word earns its place, and there is no repetition or filler.

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?

For a one-parameter tool with no output schema and no annotations, the description gives a reasonable sense of what is returned, despite the vague 'and more'. It does not specify the response structure or quirks, but given the simplicity, it is adequately complete.

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 schema has 100% coverage for the single parameter 'symbol' with a clear description 'Stock ticker symbol'. The tool description does not add any extra meaning about this parameter, but the baseline of 3 applies because the schema already documents it fully.

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 uses a specific verb 'Get' and a clear resource 'detailed company profile information', enumerating concrete fields like description, industry, sector, and CEO. This clearly differentiates it from sibling tools such as get_key_metrics or get_income_statement, which focus on quantitative 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 clear context by listing the type of data returned (description, industry, sector, CEO), making it obvious when this tool is appropriate. However, it does not explicitly exclude alternatives or mention when to prefer another tool among the many financial-data siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.