analyze_company

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'deterministic' as a behavioral trait, but it does not disclose whether the tool has side effects, requires specific permissions, or how it handles data. For an analysis tool, this is a significant gap, especially given the absence of read-only hints.

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-formed sentence that conveys the core function without extraneous words. It is appropriately concise and front-loaded, earning full credit for efficiency.

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 tool's complexity (3 parameters, no annotations, and the presence of many related siblings), the description is too minimal to be complete. It does not explain the scope of the 'comprehensive' analysis, the meaning of parameters, or how this tool fits into the broader financial analysis workflow. While an output schema exists, it does not compensate for the lack of contextual guidance.

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 fails to explain any of the three parameters (cik, years, contact_email). It does not compensate for the lack of schema detail, leaving users without clarity on what these parameters mean or how to use them.

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 states the tool's function: generating a comprehensive financial-health analysis from SEC data. It uses a specific verb ('Generate') and identifies the resource ('financial-health analysis'), making the core purpose clear. However, it does not distinguish itself from sibling tools like get_financial_ratios or ai_analyze_company, so it loses a point.

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 explicit guidance on when to use this tool versus alternatives. It does not mention conditions, exclusions, or alternative tools. The intended use case is only vaguely implied by the phrase 'financial-health analysis,' but no concrete decision criteria are given.

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