spline_interpolate

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

No annotations are provided, so the description carries the full behavioral burden. It names the interpolation method, which is genuinely useful, but says nothing about what is returned (coefficients? evaluated values?), what happens when eval_at is omitted, or behavior on invalid input (fewer than 3 points, duplicate x).

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?

A single front-loaded sentence with zero filler; the method and the optional evaluation capability appear immediately.

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 small two-parameter math tool this is nearly sufficient, but with no output schema and no annotations the description should state what is returned in each mode (interpolation-only vs. evaluation) and how degenerate inputs are handled. Those gaps keep it at minimum-viable rather than complete.

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%, so both parameters are already documented in the schema, including the 'at least 3, distinct x' constraint. The description's phrase 'with optional evaluation' loosely maps to eval_at but adds no syntax or format detail beyond the schema, matching the baseline 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?

States a specific verb and algorithm ('Natural cubic spline interpolation') plus the resource ('data points'), and notes the optional evaluation step. It is clear on its own, but it never distinguishes itself from closely related siblings like interpolate_calc, catmull_rom, or bezier_curve, which an agent in this large catalog would need.

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 gives no guidance on when to choose this over interpolate_calc or other curve-fitting siblings, nor any prerequisites such as the minimum point count. It leaves the agent to infer everything about appropriate usage.

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