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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, destructiveHint=false, so the safety profile is clear. The description adds valuable behavioral context beyond annotations: it returns category-bucketed example questions with specific tool+argument shapes, and explains that it draws from a live catalog. No contradictions 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 relatively long but front-loaded with the core purpose ('onboarding entry point'). Every sentence adds value—examples, clarifying contrast with siblings, and parameter guidance. Could be slightly more concise, but no wasted words.

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 no output schema, the description thoroughly explains what the tool returns (category-bucketed example questions with tool+argument shapes). It covers the tool's use case, parameter usage, and relationship to siblings. With annotations providing safety context, this is fully adequate for an agent to use the tool correctly.

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% for the single 'topic' parameter, with a description in the schema. The description provides examples of valid topic values (e.g., 'finance', 'pharma') and explains the effect of omitting it (full spread), but this is not essential beyond what the schema already conveys. Baseline 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 clearly identifies the tool as an onboarding entry point for suggesting questions about Pipeworx, using multiple natural language examples and explaining the output (category-bucketed example questions with tool+argument shapes). It distinguishes itself from sibling tools like ask_pipeworx and entity_profile by being the first step when the agent doesn'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?

The description explicitly states to 'Use this FIRST when you do not yet know what Pipeworx can do for you'. It provides context on when to call with or without the topic parameter and references alternatives like ask_pipeworx, entity_profile, etc., giving clear guidance on usage.

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