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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, destructiveHint=false. The description adds clarity on how it behaves (returns example questions, can be filtered by topic). It could explicitly state it is a read-only query, but annotations cover that. No contradictions.

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 thorough and front-loaded with common user queries. It uses clear structure with dash-separated categories. While slightly long, every sentence adds value. Could be slightly more concise, but overall 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?

Even without an output schema, the description fully explains what is returned (category-bucketed example questions with tool+argument shape). It covers parameter behavior, the use case, and relationship to siblings. Complete for this tool's complexity.

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%, with a good description of the 'topic' parameter. The description adds contextual value by linking the parameter to use cases (e.g., 'pass topic to focus') and listing example categories. Schema already does heavy lifting, but description reinforces and adds purpose.

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 is an onboarding entry point that returns category-bucketed example questions with tool+argument shapes. It uses specific verbs and resource description, and distinguishes itself from sibling tools like ask_pipeworx and discover_tools by suggesting to use it first.

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 tells when to use: 'the onboarding entry point for an agent that just connected' and gives explicit guidance on calling with no arguments for full spread or with topic for focus. It also mentions using it to learn how to call meta-tools, providing clear when-to-use context.

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