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

Annotations already indicate a safe, read-only, idempotent operation. The description adds valuable behavioral context beyond the annotations: it explains the return format (category-bucketed examples with tool+argument shape), the source ('live catalog of thousands of tools'), and the effect of omitting vs. passing the topic parameter. 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 front-loaded with the exact user queries it answers, which is useful for pattern matching. It is longer than strictly necessary but every sentence earns its place: the intro examples, the return format, and the usage directive. It is well structured and not redundant.

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 fully explains the return value (category-bucketed example questions with tool+argument shape). It also covers the parameter behavior, the source catalogs, and the recommended invocation context. This is complete for a simple discovery tool with one optional parameter.

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% and the schema already describes the topic parameter and its allowed values. The description adds example topics ('finance', 'pharma', 'betting') and explains the omission behavior ('full spread'), but this is marginal value over the schema's own description. 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 uses a specific verb and resource: it is 'the onboarding entry point' that 'Returns category-bucketed example questions' with the exact tool and argument shape. It clearly distinguishes itself from sibling tools like discover_tools by focusing on 'what can I ask' and explicitly names the meta-tools it teaches.

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 gives explicit guidance: '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 two usage modes (no arguments vs. topic). However, it does not explicitly contrast with alternatives like discover_tools or say when NOT to use it, so it misses the full 'when-not' dimension.

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