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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint, covering the safety profile. The description adds behavioral context beyond annotations by detailing the return format (category-bucketed example questions with exact tool + argument shape), the optional topic focus, and its purpose as the entry point from a live catalog. This is useful and does not contradict any 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 somewhat long but every sentence carries useful information: natural-language query examples, purpose, return format, invocation options, and when-to-use guidance. It is front-loaded with relatable examples and ends with concrete alternatives, making it dense but efficient.

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?

With no output schema, the description fully explains the return value (category-bucketed example questions with tool + argument shape). It covers the primary use case, how to call with no arguments or with a topic, and its role in learning about meta-tools. For a simple one-parameter tool, this is complete.

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's description of the `topic` parameter already lists the allowed values and the omit behavior. The description echoes this with additional examples but does not add significantly new meaning beyond what the schema provides, so a 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 states a specific verb+resource: it returns category-bucketed example questions with the exact tool and argument shape, acting as the onboarding entry point. It clearly distinguishes its purpose from siblings like discover_tools by emphasizing its role as the introductory guide for what to ask.

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?

Explicitly instructs to 'Use this FIRST when you do not yet know what Pipeworx can do for you' and explains how to focus with a topic parameter. It also names specific meta-tools (ask_pipeworx, entity_profile, compare_entities) as alternatives to learn from, providing clear when-to-use guidance.

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