analyze_company_financials

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

No annotations are provided, so the description must carry the full behavioral burden. It implies a read-style retrieval operation and mentions optional AI analysis, but it does not disclose permissions, rate limits, data freshness, processing time, or what the AI analysis includes.

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 front-loaded sentence with no wasted wording. It is efficient, though it is arguably too terse for a tool with no annotations or output schema.

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?

There is no output schema and no annotations, so the description needed to explain more about the returned financial data and the AI analysis behavior. As written, an agent knows the broad purpose but lacks enough context to confidently choose this tool over siblings or predict what it will return.

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 100%, so the input schema already documents orgnr, lang, and include_analysis clearly. The description reinforces the optional AI analysis but adds no parameter syntax, constraints, or guidance beyond the 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 states a clear action and resource: retrieving detailed financial data from annual reports, optionally with AI analysis. It does not explicitly distinguish this tool from close siblings such as get_annual_reports or assess_financial_health, which leaves some ambiguity about when this is the right choice.

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 gives no guidance on when to use this tool versus alternatives like get_annual_reports or assess_financial_health. It only implies that AI analysis is optional, without explaining when to enable it or what type of questions this tool is suited for.

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