origin_polynomial_fit

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

With no annotations and a minimal description, there is no disclosure of behavioral traits such as whether the tool modifies data, requires specific permissions, or produces output. The description adds no behavioral context beyond the basic action.

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 (one sentence) but lacks essential information, making it under-specified rather than concise. It fails to earn its place by not providing useful context.

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 the complexity (7 parameters, output schema exists) and no annotations, the description is severely incomplete. It does not explain what polynomial fitting entails, parameter roles, or output behavior, leaving significant gaps.

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 0%, and the description adds no parameter-level information. With 7 parameters, the burden on the description is high, but it provides no additional meaning beyond what the schema already states (which is minimal).

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 states the action (run) and resource (Origin polynomial fitting), indicating it performs polynomial fitting. However, it does not differentiate from sibling tools like linear_fit or nonlinear_fit, which are distinct but not explicitly distinguished.

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 no guidance on when to use this tool versus alternatives. There are no explicit when, when-not, or alternative suggestions, leaving the agent without context for selection.

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