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

As no annotations are provided, the description is solely responsible for behavioral clarity. It describes the *delivery* of the output but fails to disclose crucial behavioral traits like required permissions, data handling processes, or expected performance/latency. This significant gap requires the user to make many operational assumptions.

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 tool definition is brief and effective, utilizing two sentences to clearly define the target audience and the nature of the delivered output. The language is appropriately focused and avoids fluff.

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 low complexity (single optional parameter and no output schema), the definition provides adequate context for what the agent can expect. It successfully frames the output as a resource rather than a dynamic API call, which is important context for the agent.

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 100% schema description coverage, the baseline for parameter semantics is adequate. The description adds minimal value, merely confirming the optional nature of the 'query' parameter, which is standard practice.

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 defines the tool as a 'sheet optimizer pro system' targeting specific personas like marketing and operations leaders. While the purpose is clear, it does not explicitly differentiate itself from other similar 'pro' tools among the many siblings.

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 clear context on the intended outcome—a 'structured, repeatable workflow'—and how it is delivered (copy-paste prompt pack). However, it lacks explicit guidance on when to use this tool versus other analysis or templating tools.

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