Analyze stock fundamentals

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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds genuine operational context beyond that: it is 'free' (no cost/auth friction implied) and, critically, defines null semantics ('null means a metric was unavailable — never treat it as 0'), which prevents a real downstream misinterpretation.

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?

Three sentences, zero filler, and the important constraints (checklist scope, null handling) are front-loaded before the return-value description. The metric enumeration earns its length because it defines what the score actually measures.

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, yet the description compensates by summarizing exactly what comes back (score, verdict, per-metric values, analysis link) and how to read nulls. With the single parameter fully documented in the schema, nothing needed to call this correctly is missing.

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 coverage is 100% and the schema already documents the Yahoo Finance ticker format with examples (AAPL, BRK-B, SAP.DE, VOO). The description adds nothing about the symbol parameter, so the baseline 3 applies.

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?

States a specific verb and resource ('fundamental analysis of a publicly traded stock'), enumerates the exact checklist it scores against, and discloses the return shape (score, verdict, metric values, link). The scoping to stocks implicitly separates it from the sibling analyze_etf, so an agent can route without opening the schema.

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?

Usage is implied rather than stated: 'of a publicly traded stock' tells the agent this is for equities, not ETFs, but there is no explicit when-to-use/when-not statement and no named alternative (analyze_etf is never mentioned). Adequate but leaves routing to inference.

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