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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and non-destructive. The description adds meaningful behavioral context: the response structure (category-bucketed examples), the ability to focus by topic, and that it draws from a live catalog of thousands of tools. This goes well beyond the annotations without contradicting them.

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 well-structured and front-loaded with common user queries. Each sentence contributes useful information: purpose, output, usage modes, and when to use it. It could be slightly trimmed, but every part 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?

The description fully covers what the tool does, how to call it, what it returns, and when to use it. With no output schema, it transparently describes the output format (category-bucketed questions with tool and argument shapes). The annotations cover safety and idempotency, so nothing critical 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?

Schema coverage is 100% for the optional `topic` parameter, but the description adds value by providing concrete examples ('finance', 'pharma', 'betting') and clarifying that omission gives a cross-category spread. This enhances the schema's basic description.

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 function: it is 'the onboarding entry point' that 'returns category-bucketed example questions' with the exact tool and argument shape. This distinguishes it from siblings like discover_tools and ask_pipeworx by focusing on guided suggestions rather than direct answers.

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 says 'Use this FIRST when you do not yet know what Pipeworx can do for you' and describes how to invoke with no arguments or with a topic. It does not explicitly state when not to use it, but the context and alternatives (e.g., meta-tools) are clear enough.

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