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

Beyond the readOnly/openWorld/idempotent annotations, the description discloses what the tool returns: category-bucketed example questions with tool+argument shapes, drawn from a live catalog. It also notes the optional `topic` parameter modifies the output. This adds meaningful behavioral context without contradicting annotations.

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 fairly long but front-loaded with the purpose and includes the question list that helps an agent recognize when to invoke it. Every sentence adds value, though the opening query list could be trimmed slightly without losing essential meaning. Still well-structured.

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 clearly conveys the return structure (category-bucketed example questions with tool+argument shapes) and the categories involved. It covers all necessary context for a simple optional-parameter tool: purpose, output, and usage timing.

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 already provides 100% coverage with a detailed description of the `topic` parameter including values and the default behavior. The description only restates this ('pass topic (e.g. "finance", "pharma", "betting") to focus'), adding no new semantics. 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 identifies this as the onboarding entry point for Pipeworx, returning category-bucketed example questions with the exact tool and argument shape. It distinguishes itself from siblings by explicitly stating 'Use this FIRST when you do not yet know what Pipeworx can do for you.'

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 provides 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 how to vary behavior: 'Call with no arguments for the full spread, or pass `topic`.' This clearly separates it from alternatives like ask_pipeworx or discover_tools.

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