indicator_atr_direct

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

With no annotations, the description discloses that the tool fetches K-lines and directly computes ATR, and supports multiple smoothing algorithms. However, it does not explicitly state that it is a read-only operation or discuss any other behavioral traits like data source, rate limits, or side effects.

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?

Description is a single concise sentence that conveys the tool's core function and supported options. No unnecessary information.

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?

The description lacks details about the output format, return values, or error conditions. Given there is no output schema and no annotations, the description could be more informative to help the agent understand what the tool returns and when it should be used.

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 coverage is 80% (4 of 5 parameters have descriptions). The description mentions '5 smoothing algorithms' which aligns with the smoothingType enum, but does not add significant meaning beyond the schema. The 'direct' aspect is implicit in the tool's purpose.

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 it calculates the Average True Range directly from K-line data and lists 5 smoothing algorithms. It clearly identifies the tool's function and resource, and the 'direct' suffix distinguishes it from the likely non-direct sibling 'indicator_atr', though not explicitly.

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?

No guidance on when to use this tool versus alternatives like 'indicator_atr' or other indicators. It does not mention any prerequisites or context for choosing this tool.

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