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

Annotations already declare the tool read-only, idempotent, and open-world, and the description does not contradict these. It adds useful behavioral context about the live catalog (thousands of tools) and the response format (category buckets with tool+argument examples), going beyond what annotations alone convey.

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 long but information-dense, covering examples, purpose, output, parameters, and usage in one paragraph. It slightly buries the core purpose statement after an initial list of example queries, but the structured punctuation and clear sections make it scannable. Every sentence earns its place.

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 tool with one optional parameter and no output schema, the description fully covers all needed information: what it returns (category-bucketed example questions), how to customize via `topic`, and when to use it first. The absence of an output schema is compensated by an explicit description of the return format.

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 fully documents the `topic` parameter with allowed values and behavior (omit for spread). The description's examples ('finance', 'pharma', 'betting') and 'call with no arguments' phrasing largely mirror the schema, adding no fundamentally new semantic information. With 100% schema coverage, the baseline of 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 as 'the onboarding entry point' and explains that it returns category-bucketed example questions with exact tool+argument shapes. It distinguishes itself from sibling tools like ask_pipeworx and discover_tools by framing it as the first-stop orientation tool for a newly connected agent.

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?

It explicitly instructs 'Use this FIRST when you do not yet know what Pipeworx can do for you, or to learn how to call the meta-tools,' providing strong when-to-use guidance. It also explains the two invocation modes (no args vs. topic). However, it does not explicitly name alternatives or state when not to use it, leaving a small gap.

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