origin_descriptive_stats

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

No annotations exist, and the description fails to disclose any behavioral traits (e.g., read-only, modifies data, requires open worksheet). The tool's side effects and operational context are completely opaque.

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 extremely short but under-specified; it does not earn its place as it omits critical information. True conciseness requires completeness, which is absent.

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 7 parameters, no annotations, no schema descriptions, and a rich sibling set, the description is wholly inadequate. It fails to provide any meaningful context for selection or invocation.

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?

With 0% schema description coverage, the description must compensate but adds nothing about parameters. Parameter names (worksheet, x_col, etc.) are unexplained, leaving their purpose and requirements ambiguous.

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 'Run Origin descriptive statistics' is vague, lacking specifics on what statistics are computed or on what data. It barely distinguishes from siblings like 'origin_linear_fit' or 'origin_integrate', offering no unique characterization.

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 other statistical tools or when not to use. No prerequisites, context, or exclusions are provided.

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