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

No annotations are provided, so the description carries the full burden and largely meets it: it discloses the data source (Yahoo Finance), freshness (updated every 2 minutes during market hours), and a quota cost (1 credit per call). It still omits return-format/pagination detail, but the operational traits an agent needs before calling are covered.

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?

Front-loads the resource and coverage, then source, freshness, usage mode, and cost in tightly ordered sentences. Every sentence carries distinct information with no redundancy.

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 annotations and no output schema, the description compensates well: it enumerates the returned fields (price, daily change percentage, volume), the asset universe, freshness, and cost. An agent has enough to call correctly and anticipate results.

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% for the single symbols parameter, so the schema already documents format and the omit-for-all behavior. The description restates the comma-separated vs omit semantics without adding syntax or constraints beyond the schema, so the 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 verb (Returns) and resource (real-time price, change, volume) with explicit asset coverage (80+ assets, US stocks, commodities, indices) and named data source. An agent can distinguish it from get_stock_analysis or get_commodity_signals, which imply deeper per-asset analysis rather than bulk price fetching.

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?

Explicitly states both invocation modes: request specific comma-separated symbols, or omit for all 80+ assets. This is clear context for using the tool, but it names no alternative sibling tool or when-not-to-use condition (e.g. versus get_stock_analysis for deep dives).

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