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

Annotations already signal read-only, open-world, idempotent, non-destructive behavior, so the bar is lower. The description adds useful behavioral context: it is the onboarding entry point, it returns category-bucketed examples with tool+argument shapes, and it is drawn from the live catalog of thousands of tools. No contradiction with annotations.

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 longer than average because it lists many user-facing question phrasings and category examples, but this is justified for an onboarding tool. It is front-loaded with the core purpose and then gives focused usage details, though a few phrases are redundant with the schema.

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?

The description is complete for a tool with one optional parameter and no output schema: it explains what the tool returns, how to do a broad query versus a focused query, and when to use it. Minor gaps such as response formatting details are not critical given the tool's purpose.

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?

Schema coverage is 100%, and the schema already documents the optional `topic` parameter and its allowed values. The description adds examples and clarifies the no-argument behavior, but this mostly restates what the schema already provides rather than adding substantive new meaning.

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 what the tool does: returns category-bucketed example questions with the exact tool and argument shape from the live catalog. It positions itself as the onboarding entry point and distinguishes its use from other tools by saying 'Use this FIRST when you do not yet know what Pipeworx can do for you.'

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 gives clear context for when to use the tool: when the agent doesn't know what Pipeworx can do or wants to learn how to call meta-tools. It also explains the tradeoff between calling with no arguments for the full spread versus passing a topic to focus, but it does not explicitly name alternatives or exclusion criteria.

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