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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, making the tool's safe, non-destructive nature clear. The description adds valuable behavioral context: the tool returns 'category-bucketed example questions ... each with the exact tool + argument shape that answers it, drawn from the live catalog.' It also explains how the topic parameter changes behavior. 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 well-structured: it starts with common user queries, then explains the purpose, output format, and usage. It is fairly long but efficient, using a list of example topics and clear call-to-action. Every sentence serves a purpose, though it could be slightly trimmed without losing meaning.

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?

For a single-parameter tool with no output schema, the description provides complete context. It explains the output (category-bucketed example questions with tool+argument shapes), usage patterns (no args vs topic), and when to use it. No additional information is needed for an agent to invoke it 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?

The input schema has 100% coverage with a single 'topic' parameter. The description adds meaning beyond the schema by listing example topics (finance, pharma, betting) and explaining that omitting it returns a cross-category spread. This helps the agent understand parameter usage without memorizing enums.

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 as an onboarding entry point for discovering what Pipeworx can do. It provides specific example questions and explains the output format (category-bucketed example questions with tool+argument shapes). The sibling comparison suggests using this tool 'FIRST' when unfamiliar with Pipeworx, distinguishing it from other tools like ask_pipeworx or entity_profile.

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 when to use the tool: 'Use this FIRST when you do not yet know what Pipeworx can do for you, or to learn how to call the meta-tools.' It also provides clear usage guidance: call with no arguments for full spread, or pass a topic parameter to focus. No ambiguity.

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