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

The description adds significant context beyond the annotations: it explains that the tool returns category-bucketed example questions with exact tool and argument shapes, drawn from a live catalog, and can be called with or without a topic. This complements the readOnly, idempotent, and non-destructive hints perfectly.

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 relatively long but front-loads key information with example questions and a list of categories. Every sentence adds value, though some redundancy could be trimmed slightly. Structure is logical and well-organized.

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 the presence of annotations and schema, the description fully explains what the tool does, when to use it, what parameters it accepts, and what it returns (category-bucketed examples with tool shapes). No output schema exists, so the description adequately covers the return format.

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% with a detailed description for the single 'topic' parameter. The description merely echoes that the parameter is optional and can be used to focus, adding no new semantic meaning 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 states the tool's purpose as an onboarding entry point that returns category-bucketed example questions. It uses specific verbs like 'returns' and 'show examples,' and distinguishes itself from sibling tools by being the first tool to use when the agent is unfamiliar with the system.

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,' providing clear context for when to use it. It also mentions optional topic parameter for focusing, but does not explicitly state when not to use it or list alternative tools for specific follow-up queries, though this is implied.

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