get_quote

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

No annotations provided; the description itself implies a read operation (real-time data) but does not explicitly state read-only nature, rate limits, or data freshness guarantees. For a simple query tool, this is minimally acceptable but could be more explicit.

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?

Single, front-loaded sentence that conveys purpose and returned fields without any filler. Every word contributes value.

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 tool with one parameter and no output schema, the description adequately mentions the key data points returned (price, change, volume, key metrics) and real-time nature. Slightly missing details like data source or error behavior, but sufficient given low complexity.

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 input schema covers the single 'symbol' parameter with clear description, achieving 100% schema description coverage. The description adds no extra parameter semantics, so baseline score of 3 is appropriate.

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 the tool retrieves real-time stock quote data with specific fields (price, change, volume, key metrics). It distinguishes itself from siblings like get_historical (historical data) and get_company_info (company details) by focusing on real-time quotes.

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?

No explicit guidelines on when to use this tool versus alternatives like get_historical for past data or search_symbols for symbol lookup. The description does not advise on prerequisites or limitations.

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