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

With no annotations, the description carries the full burden and does meaningful work: it discloses cost ($0.01) and that unknown tickers return a free 404, which tells the agent about billing and error behavior. It does not mention auth requirements or rate limits, keeping it short of a 5.

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?

One dense, front-loaded sentence covering what is returned, the input scope, error behavior, and price. No filler or repetition.

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?

With no output schema, the description correctly names the return fields (price, 24h change, volume) and covers error and cost behavior. It is nearly complete for a single-parameter quote tool, with only auth/rate-limit context absent.

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 schema already documents the symbol parameter and its examples. The description adds market coverage (US, Hong Kong, India), which is useful but not syntax or format detail beyond the schema; 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 resource (current stock price, 24h change, volume) for a ticker, with market scope (US, Hong Kong, India). It is clearly the raw-quote tool among analysis-oriented siblings, though it never names an alternative to differentiate itself explicitly.

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 by the resource description, and the 'unknown tickers return a free 404' line hints at input expectations, but there is no explicit when-to-use vs when-not guidance or reference to siblings like analyze_stock_ai or get_top_trade_ideas.

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