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

The description discloses that it returns category-bucketed example questions with the exact tool + argument shape, and explains the behavior with and without a topic. Annotations already declare readOnly, openWorld, idempotent, and non-destructive, so the additional context about return structure and live catalog adds value without contradiction.

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 long but well structured, starting with example queries, then purpose, then return details, then parameter guidance. Every sentence carries useful information for an onboarding tool, though a few redundant examples could be trimmed.

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 having no output schema, the description fully explains the return value (category-bucketed example questions with tool + argument shapes), usage context, parameter behavior, and even lists the target categories. It is complete for an onboarding tool with strong annotations.

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 fully documents the topic parameter with an exact list of options and the behavior when omitted (100% schema coverage). The description adds little beyond echoing the examples, so it does not significantly surpass the schema's baseline.

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 purpose: it is the onboarding entry point for an agent to discover what questions can be asked and returns category-bucketed example questions. It distinguishes itself from siblings like discover_tools by positioning it as the first tool to use and by mentioning specific meta-tools it helps learn to call.

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 explicitly says 'Use this FIRST when you do not yet know what Pipeworx can do for you' and gives example prompts. It also explains when to pass a topic vs. omit it. However, it does not explicitly contrast with sibling tools like discover_tools, so it lacks an explicit exclusion statement.

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