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

Annotations already carry the full safety profile (readOnlyHint, idempotentHint, openWorldHint, destructiveHint), lowering the bar; the description adds the "historical" temporal scope and the OHLCV data shape beyond those annotations. However, it omits operational behavior such as how far back history goes, error behavior for unknown symbols, or rate limits. No contradiction with annotations.

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?

One front-loaded sentence states the core purpose, followed by a compact example of the exact invocation. Every element earns its place and there is no wasted wording or filler.

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 2-parameter read tool with rich annotations and no output schema, the description's OHLCV time-series statement doubles as a return-format description, which is adequate. Minor gaps remain: "historical" is claimed but no date-range parameter exists, and the output structure (array shape, date format) is unspecified. Largely complete given the 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?

Schema description coverage is 100% — both symbol and _apiKey are already documented in the input schema, so the baseline is 3. The description's example invocation reinforces the call pattern but adds no new semantic meaning for the parameters beyond what the schema provides.

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 states a specific verb and resource — "Get historical OHLCV price bars" — and enumerates the data components (open, high, low, close, volume), which clearly distinguishes it from sibling gurufocus data tools like gurufocus_gurus, gurufocus_insider, and gurufocus_summary. An agent can tell exactly what data this returns without opening the schema.

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 OHLCV specificity implies the usage context (need price time series → use this), but there is no explicit when-to-use/when-not-to-use statement and no guidance about which alternative to pick among the related gurufocus siblings. The agent must infer differentiation on its own.

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