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

Discloses that it returns example questions with tool/argument shapes from a live catalog, and explains behavior when no args vs topic. Annotations already indicate safe/read-only/idempotent, but description adds context about response content.

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 front-loaded with common question patterns and includes examples, but is slightly verbose. Every sentence adds value, though some repetition could be trimmed.

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 simplicity of the tool (0 required params, no output schema), the description fully covers what it returns, when to use, and how to use it. No gaps remain.

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 basic description; the description adds concrete examples of topic values and clarifies that omitting gives a full spread. This provides meaningful guidance 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 that the tool returns category-bucketed example questions and serves as an onboarding entry point, with specific verb 'returns' and resource 'example questions'. It distinguishes from siblings like ask_pipeworx by emphasizing suggestion/onboarding role.

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 tells when to use: 'Use this FIRST when you do not yet know what Pipeworx can do for you.' Also explains how to use with no arguments vs topic parameter, and mentions alternatives like meta-tools.

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