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

The description adds significant behavioral context beyond annotations: it highlights that the tool returns category-bucketed example questions drawn from the live catalog, and that it is an onboarding/discovery tool, not a regular query tool. Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and non-destructive, which are consistent.

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 somewhat long but front-loaded with example questions and structured with categories and usage instructions. Every sentence adds value, though a slightly tighter edit could improve conciseness.

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's onboarding purpose, no output schema, and a single optional parameter, the description is fully complete. It tells the agent exactly when to use it, what to expect (category-bucketed examples with tool+argument shapes), and how to call it (no args or with topic).

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 has one optional parameter `topic` with a description listing focus areas. The description adds meaning by explaining what happens when omitted (full spread) and when passed (focus), and enumerates possible values. Schema coverage is 100%, but the description still adds value.

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 as an onboarding entry point that returns example questions and the exact tool+argument shape to answer them. It distinguishes itself from sibling tools like ask_pipeworx, entity_profile, etc., by being the 'first' tool to use when unfamiliar with Pipeworx.

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 explains both the no-argument call and the optional `topic` parameter. It provides clear context and alternatives, such as learning how to call meta-tools.

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