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

The description adds behavioral context beyond annotations by explaining that results are drawn from a 'live catalog of thousands of tools' and that the output includes 'the exact tool + argument shape' for each suggested question. It also clarifies the two invocation modes (no-args vs topic). Annotations already declare readOnly and idempotent, so the bar is lower; the description adds useful specifics without any 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 a single dense paragraph that front-loads example user questions before explaining the tool's purpose and usage. While comprehensive, it is somewhat long, and the opening question list slightly overlaps with the title. Still, every sentence adds useful information, so it is concise enough.

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 having no output schema, the description tells the agent exactly what to expect: a spread of category-bucketed example questions with the tool and argument shape. It covers parameter behavior, when to use, and what the tool is for, making it complete for a simple, read-only tool with strong annotations.

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 `topic` parameter with a full list of allowed values and the default behavior when omitted (100% coverage). The description repeats this and adds minor examples ('finance', 'pharma'), but does not provide significant new semantic meaning beyond the schema. 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 states the tool's function as an onboarding entry point that returns category-bucketed example questions with the exact tool and argument shapes. It uses specific verbs ('Returns', 'Call') and names its resource. It also distinguishes itself from sibling tools by positioning it as the 'first' tool to use when unfamiliar with Pipeworx.

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 instructs to 'Use this FIRST when you do not yet know what Pipeworx can do for you' and even lists the meta-tools to learn about. It provides clear guidance on calling with no arguments for a full spread or passing a topic to focus, going beyond implied usage to a concrete directive.

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