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

Annotations already indicate readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false. The description adds context about the output structure (category-bucketed example questions with tool+argument shapes) and usage patterns (no arguments vs topic). This goes beyond the annotations and enhances understanding.

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 well-structured with trigger phrases first, then a clear explanation of returns and usage. Every sentence adds value, but it is slightly long for a simple tool. It effectively front-loads key information.

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 simple onboarding tool with one optional parameter and no output schema, the description is complete. It explains when to use, what to expect (category-bucketed examples with tool+argument shapes), and how to focus via topic. No output schema needed since description covers return format adequately.

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% with a clear description of the 'topic' parameter. The description reinforces this by providing examples (e.g., 'finance', 'pharma') and clarifying the default behavior with no arguments. It adds value beyond the schema by explaining how topics relate to categories.

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 as an onboarding entry point that returns category-bucketed example questions. It uses specific verbs and resource descriptions (e.g., 'returns category-bucketed example questions') and distinguishes itself from siblings by being the first tool to use when unsure of capabilities.

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 says 'Use this FIRST when you do not yet know what Pipeworx can do for you'. It provides context for when to use with or without topic. However, it does not explicitly state when not to use it or provide alternative tools for specific scenarios beyond this initial exploration.

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