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

No annotations are provided, so the description carries the transparency burden. It discloses that quotes are real-time, retrieved in a single request, and include current prices, volume, and detailed data. However, it does not specify response format, auth/rate limits, or exact scope of 'detailed data'.

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?

Two concise sentences, front-loaded with the core action, and every clause adds value. The use-case sentence is helpful for context without being wordy or redundant.

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 low-complexity tool with one fully described parameter, the description covers the purpose and typical use case. The lack of an output schema is partially mitigated by naming prices, volume, and detailed data, though 'detailed data' remains vague.

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 already fully documents the single 'symbols' parameter as a comma-separated list, so the description adds no new parameter-level semantics. It merely restates the multi-company concept, which keeps the score at the baseline.

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 uses a specific verb ('Retrieve'), a clear resource ('multiple real-time stock quotes'), and states the batch/API nature. It distinguishes from siblings like getQuote (single stock) and getBatchQuotesShort by emphasizing 'multiple' and 'detailed data'.

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?

It provides a clear context: tracking large portfolios or monitoring multiple stocks simultaneously. However, it does not explicitly mention when not to use it or point to alternatives like getQuote or getBatchQuotesShort.

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