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

No annotations are provided, so the description carries the behavioral transparency burden. It does disclose that data is real-time and includes prices, changes, and volume, which is useful context. However, it does not mention authentication requirements, rate limits, error behavior, or whether the quote reflects regular trading hours versus after-hours, leaving some behavioral ambiguity.

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 two sentences, front-loaded with the core purpose, and every word adds value. The reference to 'FMP Stock Quote API' is slightly extraneous but does not detract from clarity. It is concise and well-structured.

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 single-parameter tool with no output schema, the description gives a general sense of what is returned ('prices, changes, and volume data') but lacks specifics such as exact response fields (e.g., open, high, low, bid/ask) or error handling. It is adequate for a straightforward quote retrieval but not fully complete for an agent that needs detailed return expectations.

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%, with the 'symbol' parameter described as 'Stock symbol'. The tool description reinforces this by saying 'individual stocks', adding minimal semantic value beyond the schema. Baseline of 3 is appropriate since the schema already fully documents the parameter.

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 accesses real-time stock quotes and retrieves up-to-the-minute prices, changes, and volume data for individual stocks. It uses specific verbs and resources, and the phrase 'individual stocks' distinguishes it from sibling tools that handle batches, other asset classes, or aftermarket 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?

The description implies usage context by emphasizing 'individual stocks' and 'real-time,' suggesting it is for single-stock, current-price queries. However, it does not explicitly name alternatives (e.g., getBatchQuotes for multiple symbols or getAftermarketQuote) or provide when-not-to-use guidance, leaving usage selection somewhat implicit.

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