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

Annotations already establish read-only, idempotent, open-world, and non-destructive behavior. The description adds concrete behavioral context by stating there is no account access, no order placement, no fund transfers, and that the tool is not investment advice. This goes beyond the annotations, though it does not mention rate limits or authentication details.

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 concise and front-loaded, with each sentence serving a purpose: output summary, alternative tool routing, and safety disclaimers. There is slight redundancy in the read-only and no-account-access statements, but overall it is well structured and compact.

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?

Given that an output schema exists, the description sufficiently covers the tool's purpose, data source, output type, related tools, and behavioral limitations. It provides enough context for an agent to decide when and how to invoke this tool without missing critical information.

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 descriptions cover all four parameters with accepted period values and time formats, so schema coverage is 100%. The tool description does not add further parameter-specific detail, which aligns with the baseline score of 3.

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 identifies the tool as returning multi-timeframe chart-derived labels such as bullish/bearish/neutral summaries, and explicitly distinguishes it from OHLCV kline data and raw indicator history. This makes the tool's purpose concrete and differentiates it from closely related siblings.

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 provides explicit routing guidance: 'OHLCV→get_kline' and 'Raw columns→get_indicator_history', while framing this tool as descriptive research rather than a price forecast. It also states the tool is not an investment recommendation, giving clear usage boundaries.

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