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

Annotations already mark the tool as readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds behavioral context beyond this by stating that results are drawn from the live catalog of thousands of tools and that each returned question includes the exact tool + argument shape, which informs the agent about output structure and real-time variability. No contradictions exist.

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 a dense block that includes example queries, purpose, output details, and usage instructions. Each clause contributes value, though it is somewhat long for a tool with one parameter. It is front-loaded with example queries that immediately signal the tool's purpose, making it efficient despite its length.

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 tool has only one optional parameter, no output schema, and comprehensive annotations, the description fully covers what it returns (category-bucketed example questions with tool+argument shapes), when to use it (first when unfamiliar with Pipeworx), and how to parameterize it (with or without topic). It also lists the available categories and the fact that results come from a live catalog, making it complete for an agent's initial exploration.

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 schema already documents the single optional `topic` parameter with 100% coverage, listing allowed values and the behavior when omitted. The description reinforces this with examples but does not add any new semantic meaning beyond what the schema provides, so the baseline of 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 states the tool's function: it returns category-bucketed example questions with the exact tool and argument shape that answers each, and positions it as the onboarding entry point for an agent that just connected. This distinguishes it from siblings like ask_pipeworx (which likely answers questions directly) and discover_tools (which discovers tools) by focusing on generating question ideas and teaching how to call meta-tools.

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?

Explicit usage guidance is provided: '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 when to pass a topic versus call with no arguments for the full spread, giving clear context for when to use this tool vs. alternatives.

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