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

Annotations already declare readOnlyHint, openWorldHint, and idempotentHint, covering safety. The description adds meaningful behavioral context beyond annotations: it describes the return structure (category-bucketed example questions with tool + argument shape), the effect of the topic parameter, and its role as a live catalog lookup. No contradictions with 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 longer than typical but well-structured: it opens with user-intent phrases, then states purpose, return content, and usage. Every sentence adds value, though some repetition of schema information slightly reduces conciseness.

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?

Given no output schema, the description explains return values (category-bucketed example questions with tool+argument shapes) and distinguishes between no-arg and topic-arg behavior. It also situates the tool correctly relative to siblings. Minor omissions like error handling or exact category list are not critical for its purpose.

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 description coverage is 100% for the only parameter, topic, which already lists valid values and the omit behavior. The description reinforces this with examples but adds no new semantic information beyond the schema. 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 states the tool's purpose: it is an onboarding entry point that suggests example questions, category-bucketed, each paired with the exact tool and argument shape. It distinguishes itself from siblings like ask_pipeworx and discover_tools by specifying its role as a suggestion/discovery tool.

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 usage guidance: 'Use this FIRST when you do not yet know what Pipeworx can do for you' and mentions alternatives (meta-tools). It also explains how to invoke it with or without the topic parameter. It does not explicitly state when not to use it, but the 'FIRST' directive and mention of meta-tools provide strong contextual guidance.

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