run_exponential_smoothing

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

The description contradicts the annotations: annotations declare readOnlyHint=true, but the description states 'May modify workbook if `output_file`/`new_column_name` provided.' This is a direct contradiction about the tool's side effects, making the behavioral guidance unreliable. No other behavioral details (e.g., permission needs, irreversible changes) are provided.

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 well-organized into Args, Returns, and Notes sections, with a clear one-sentence summary at the top. It is appropriately sized given the parameter count—each parameter gets a concise line. No redundant or filler content is present, though it is a bit long due to the 12 parameters.

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 covers the main aspects: purpose, parameters, return value, and a note about potential modification. However, the contradiction with the readOnly annotation creates a significant trust gap, and it lacks guidance on when to use the tool, data prerequisites, or example values. Given the tool's complexity (12 parameters, no output schema), the description is competent but incomplete.

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 schema description coverage at 0%, the description fully compensates by listing all 12 parameters and providing brief but meaningful explanations (e.g., alpha is the smoothing factor, seasonal_periods is required for Holt-Winters, smoothing_trend/seasonal are optional fixed parameters). It adds context beyond the schema's titles, though it could specify allowed values or constraints in more detail.

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 opens with a specific verb-resource statement: 'Apply exponential smoothing (simple/Holt/Holt-Winters) to a time series column.' This clearly identifies the tool's function and distinguishes it from sibling tools like run_regression or run_solver, which perform different statistical operations.

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 explicit guidance on when to use this tool versus alternatives. It does not mention any exclusions, prerequisites, or scenarios where another tool would be more appropriate. The only implied usage is the general 'apply exponential smoothing,' but there is no comparative advice.

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