Stock Investment Thesis

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

No annotations provided, so description carries full burden. Successfully discloses data sources ('live financials, valuation metrics, insider trades, analyst ratings'), processing style ('Motley Fool-style research note'), and output structure ('bullish/neutral/bearish verdict, thesis paragraphs...'). Missing only side-effect warnings or rate limit notes.

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?

Four sentences with zero waste: (1) Purpose, (2) Data sources & processing, (3) Output structure, (4) Usage guidance. Front-loaded and efficiently structured; every sentence earns its place.

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?

Despite no output schema, description explicitly documents return values (verdict categories, thesis components). Covers input semantics, behavioral traits, and output structure adequately for a 2-parameter synthesis tool. Minor gap: no mention of data freshness or caching behavior.

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%, establishing baseline 3. Description references 'long-term' and 'any stock' which loosely map to parameters, but adds no syntax, format details, or semantic constraints beyond the schema's 'e.g. NVDA, AAPL' example.

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?

Specific verb ('Generate') + resource ('long-term investment thesis') + scope ('any stock'). Distinguishes from siblings like 'earnings_analysis' (narrow focus), 'valuation_snapshot' (metrics only), and 'bear_vs_bull' (comparison format) by emphasizing comprehensive fundamental synthesis.

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?

Provides explicit positive guidance ('Use when you want fundamental analysis of a stock for long-term investing') with clear context. Lacks explicit negative constraints or named alternatives (e.g., when to use 'earnings_analysis' instead), preventing a 5.

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