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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint false. The description adds meaningful context: results are 'drawn from the live catalog of thousands of tools' and include 'the exact tool + argument shape that answers it.' This tells the agent what to expect in the response beyond what annotations alone convey. It does not discuss latency or failure modes, but that is a minor gap.

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 paragraph, but it is well-structured with an em-dash to separate the query examples from the main purpose. It front-loads sample queries, then explains return structure and invocation. It is dense but every sentence contributes meaning; it could be slightly trimmed for readability.

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 only one optional parameter, no output schema, and strong annotations, the description is complete. It covers what the tool returns (category-bucketed example questions with tool+argument shapes), how to call it (no args or topic), and when to use it (first, when unfamiliar with Pipeworx). No significant information is missing.

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 covers 100% of the parameter, including an enum of valid topics and guidance to omit for a spread. The description's example values ('finance', 'pharma', 'betting') are redundant with the schema. Thus, it adds no new semantics, matching the baseline of 3.

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 identifies the tool as the 'onboarding entry point' for an agent, with a specific verb+resource: it returns category-bucketed example questions with exact tool and argument shapes. It distinguishes itself from siblings like discover_tools and ask_pipeworx by positioning itself as the first thing to use when you don't know what Pipeworx can do.

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 states when to use it: '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 gives clear usage patterns for both no-argument and topic-filtered calls. However, it does not explicitly mention alternative tools or when not to use it, so it falls short of the top bar.

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