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

Annotations already declare readOnly, idempotent, and non-destructive behavior, and the description does not contradict them. It adds useful behavioral context by explaining that output includes category-bucketed examples with exact tool + argument shapes, drawn from the live catalog, and that calls can be scoped by topic or get the full spread.

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 longer than average but front-loaded with example user phrasings and packed with non-redundant information about purpose, output, and usage. The length is justified for an onboarding tool that must communicate multiple entry points and tool relationships.

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-optional-param tool with no output schema, the description is remarkably complete: it explains purpose, output contents, argument semantics, and when to use it first. No important usage dimension is left unaddressed.

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 schema already documents the optional 'topic' parameter with 100% coverage, so the baseline is 3. The description adds meaning with concrete examples ('finance', 'pharma', 'betting') and clarifies the no-argument 'full spread' behavior, going slightly beyond the schema.

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?

Description uses a specific verb ('returns') and resource ('category-bucketed example questions...') and explicitly frames the tool as an onboarding entry point. It clearly distinguishes from sibling tools like ask_pipeworx by focusing on surfacing suggestions rather than answering directly.

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, or to learn how to call the meta-tools,' which is clear when-to-use guidance. It does not explicitly state when not to use it, but the context and reference to meta-tools imply alternatives.

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