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

Annotations already declare readOnly, idempotent, and openWorld. The description adds meaningful behavioral context by stating what it returns (category-bucketed example questions with exact tool + argument shape) and that it is drawn from the live catalog. It doesn't address rate limits or errors, but the annotation coverage lowers the burden.

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 moderately long but well-structured, starting with example queries to grab attention, then explaining purpose, return format, and usage. Every sentence contributes value, though it could be slightly trimmed without losing meaning.

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?

Despite lacking an output schema, the description thoroughly explains the return format (category-bucketed with tool + argument shape) and provides clear context on when to use it. Given the simple parameter set and rich annotations, this is complete for the tool's complexity.

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?

The input schema fully documents the single optional 'topic' parameter with allowed values (100% coverage). The description adds example topics and clarifies omission behavior, but these are already implied by the schema. Thus, baseline 3 is appropriate.

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 identifies the tool's function: returning category-bucketed example questions with exact tool and argument shapes. It distinguishes itself from siblings by labeling it the "onboarding entry point" and instructing to use it FIRST, making its unique role evident.

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 strong usage guidance: "Use this FIRST when you do not yet know what Pipeworx can do for you, or to learn how to call the meta-tools." It also explains call patterns (with or without topic). However, it does not explicitly name alternative tools to avoid, so it falls short of a 5.

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