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

Annotations already declare readOnlyHint=true and idempotentHint=true. The description adds behavioral context by detailing that it returns categorized example questions and that calling without arguments gives a full spread, while passing topic focuses results. This exceeds annotation coverage, though the exact response structure is not specified.

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 a single dense paragraph front-loaded with common queries, but it contains no unnecessary words. It could benefit from bullet points for categories, but overall it is efficient and informative without being verbose.

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 absence of an output schema, the description fully explains what the tool returns (categorized example questions) and its role as an onboarding entry point. It covers usage, focus options, and learning meta-tools, making it complete for its intended 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 coverage is 100%, but the description adds significant semantic value by listing the allowed topic values and explaining the effect of omitting the parameter (full spread). This goes beyond the schema description, which only says 'Optional focus area'.

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 is the onboarding entry point that returns category-bucketed example questions with exact tool and argument shapes. It uses specific verbs like 'suggest questions' and identifies the resource as Pipeworx capabilities, distinguishing it from sibling tools like ask_pipeworx or entity_profile.

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 advises using this tool first when unsure about Pipeworx's capabilities, and explains how to focus via optional topic parameter. It also states the purpose of learning meta-tools, providing clear context for when to use it.

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