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

Annotations already declare readOnly, openWorld, idempotent, and non-destructive. The description adds valuable context beyond annotations by detailing what the returned data contains (category buckets, exact tool + argument shape, live catalog) and the intended onboarding use case. No contradictions. It does not discuss edge cases or limitations, but with strong annotations the bar is met.

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 longer than two sentences but is well-structured: it opens with example user queries, states the purpose, describes the return format, and ends with usage guidance. Each sentence adds value, and the key 'Use this FIRST' guidance is prominent. Slightly verbose with the long list of topic categories, but appropriate for an onboarding tool.

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?

This is a low-complexity tool with one optional parameter and no output schema. The description covers the return value (category-bucketed questions with tool shapes), the parameter behavior (omit vs topic), and the exact situations for use. It is complete enough for an agent to invoke correctly without further documentation.

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%, so baseline is 3. The description only repeats the topic examples ('finance', 'pharma', 'betting') already listed in the schema description, adding no new semantic information about format, default behavior, or constraints. It confirms the 'focus' behavior but does not go beyond the schema.

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, with a specific verb+resource ('returns category-bucketed example questions') and distinguishes it from siblings by positioning it as the first call when unfamiliar with Pipeworx. It is far more specific than the title 'What Can I Ask Pipeworx?' and explains the exact output (example questions with tool + argument shapes).

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?

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', giving clear when-to-use guidance. It also explains the no-arg vs topic parameter usage. However, it does not explicitly name alternative tools or state when not to use it, so it stops short of a 5.

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