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

The description adds substantial behavioral context beyond the annotations. It explains that the tool returns 'category-bucketed example questions' and that each comes with the 'exact tool + argument shape that answers it, drawn from the live catalog of thousands of tools.' It also clarifies that it is the onboarding entry point, which aligns with readOnlyHint and idempotentHint annotations without contradiction.

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 slightly verbose with parenthetical examples and multiple questions, but the key information is front-loaded. It could be trimmed slightly, but the structure is clear and each part earns its place.

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 the tool has only one optional parameter and no output schema, the description is fully complete. It explains what the tool returns, how to use it, and its role in the broader tool ecosystem. There are no gaps and no need for additional information.

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 input schema has 100% coverage and the description adds significant meaning: it lists example topic values ('finance', 'pharma', etc.), explains the effect of omitting vs passing topic, and frames the parameter as 'focus area'. This goes beyond the schema's minimal description, providing rich semantic context for the agent.

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's purpose: it is the onboarding entry point that returns category-bucketed example questions with exact tool+argument shapes. It distinguishes itself from sibling tools by explicitly mentioning meta-tools like ask_pipeworx, entity_profile, etc., and frames its role as a 'first-use' tool.

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', providing direct when-to-use guidance. It also explains two usage modes: no arguments for full spread, or pass `topic` to focus. This effectively tells the agent when and how to invoke the tool.

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