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

Annotations already declare readOnly, openWorld, idempotent, and non-destructive behavior. The description adds valuable context: it returns category-bucketed example questions with exact tool + argument shape, drawn from a live catalog, and explains behavior with no args vs topic filtering. This goes beyond the annotations without contradicting them.

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 of four sentences. It is front-loaded with example queries and then provides concise explanations of return value, parameter usage, and when to use. Each sentence earns its place, though a bulleted list could improve scannability without adding length.

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?

With no output schema, the description explains what the tool returns (category-bucketed example questions with exact tool + argument shape). It also covers parameter behavior, usage context, and the relationship to meta-tools. For a simple one-parameter tool, this is complete.

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 provides 100% coverage for the single optional topic parameter, including allowed values and the 'omit for cross-category spread' guidance. The description echoes this with examples but does not add any 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 purpose: an onboarding entry point that returns category-bucketed example questions with the exact tool and argument shape to answer them. It is specific about the resource ('what can I ask Pipeworx') and distinguishes itself from siblings by positioning 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?

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'. It also explains the no-args vs topic behavior. It does not explicitly name an alternative tool like discover_tools for comparison, but the 'USE FIRST' instruction provides clear prioritization.

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