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

Annotations already declare safe, non-destructive, idempotent, and open-world hints. The description adds context about returning structured questions with tool shapes and the ability to filter by topic, enhancing understanding beyond the annotations.

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 questions and well-organized, but slightly verbose due to listing many categories and alternatives. Every sentence adds value, but could be tightened without loss.

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 no output schema, the description adequately explains the return format (category-bucketed example questions with tool+argument shape). It covers use case, arguments, and linkage to other tools, making it complete for an onboarding tool.

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 covers 100% of parameters with a description of 'topic'. The description adds value by explaining the effect of omitting vs. providing topic (full spread vs. focus) and giving examples of valid topics, which goes 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 the onboarding entry point for agents, provides alternative phrasings, and specifies that it returns category-bucketed example questions with tool arguments. It effectively distinguishes itself from siblings by positioning itself as the introductory tool.

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 states to use this tool first when unfamiliar with Pipeworx, describes how to call with or without the topic parameter, and mentions learning about meta-tools. Provides clear when and how to use, though does not explicitly list when not to use.

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