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

Annotations already declare readOnly, openWorld, idempotent, and non-destructive. The description adds valuable behavioral context: the response contains category-bucketed examples drawn from a live catalog, each with the exact tool and argument shape. It does not describe latency or response size, but the annotated safety profile lowers the bar and this context is sufficient.

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 front-loaded with example user queries, making the purpose immediately clear. The remaining sentences are compact and each earned: they describe the return format, the optional topic parameter, and the recommended first-use scenario. No wasted words.

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 this is a simple tool with one optional parameter and no output schema, the description is complete. It explains what the tool returns (category-bucketed examples with tool/argument shapes), how to use it (no-arg vs topic), and when to use it (onboarding). Nothing essential is missing for an agent to select and invoke it correctly.

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 provides 100% coverage of the single optional 'topic' parameter, including the allowed values and the note to omit for a cross-category spread. The description's mention of 'finance', 'pharma', 'betting' is redundant and adds no new semantic meaning beyond what the schema states.

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 it returns category-bucketed example questions with exact tool and argument shapes, and explicitly positions itself as the onboarding entry point. It distinguishes from siblings by mentioning meta-tools like ask_pipeworx, entity_profile, and compare_entities, and by focusing on question suggestions rather than direct answers.

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 when to call with no arguments vs. passing a topic. It also names the meta-tools it helps learn, providing clear usage context and alternatives.

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