get_stock_symbol_lookup

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

No annotations are provided, so the description carries the full burden. It discloses that the tool searches and returns a list of formatted strings, but omits details on matching behavior (e.g., fuzzy vs exact), potential empty results, error conditions, or any read-only assumption. This is minimal but not misleading, hence a mid-range score.

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 concise and well-structured: a one-sentence summary, followed by Args and Returns sections. Every element adds value, with no redundant or vague text. It is front-loaded with the purpose and easy to parse.

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?

For a simple lookup tool with one parameter and no output schema, the description provides essential information: purpose, parameter semantics, and return type. It lacks details on output format specifics or edge cases, but given the low complexity, this is reasonably complete. A score of 4 reflects the slight uncertainty about what 'formatted information' precisely entails.

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?

The schema only specifies 'query' as a required string, but the description adds substantial meaning: it explains what inputs are acceptable (symbol, name, ISIN, CUSIP) and gives a concrete example ('apple'). With schema description coverage at 0%, this description fully compensates and enhances usability.

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 a specific action ('searches for best-matching symbols') on a specific resource (stock symbols), distinguishing it from sibling tools that deal with prices, financials, and news. The inclusion of example query types ('symbol, security's name to ISIN and CUSIP') reinforces the scope.

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 implies when to use this tool: whenever you have a partial symbol, name, or identifier and need to find the canonical symbol. It provides clear context by listing acceptable inputs, but does not explicitly mention alternatives or when not to use it. Since sibling tools all operate on known symbols, this is adequate context without excluding other tools.

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