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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint. The description adds significant context: returns category-bucketed example questions with exact tool and argument shape. 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 appropriately sized for an onboarding tool, front-loading the purpose and examples. Every sentence adds value, though it could be slightly more concise. Structure is clear with examples and parameter guidance.

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?

Despite no output schema, the description fully explains the return value: category-bucketed example questions with tool and argument shapes. It covers both no-argument and topic-focused calls. For an onboarding tool with many siblings, 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% with one optional 'topic' parameter and description. The description adds meaning beyond the schema by listing specific topic values (finance, pharma, etc.) and stating that omitting it gives a cross-category spread, which helps the agent understand the parameter's effect.

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 is an onboarding entry point for new users, listing example questions and what it returns. It distinguishes itself from siblings like ask_pipeworx and discover_tools by being the first thing to call when you don't know what Pipeworx can do.

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 says 'Use this FIRST when you do not yet know what Pipeworx can do for you' and explains how to learn about meta-tools. Provides directive on when to pass 'topic'. However, it does not explicitly state when not to use it or offer alternatives beyond the listed siblings.

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