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

Annotations already declare the tool as read-only, open-world, idempotent, and non-destructive. The description adds valuable behavioral context: it returns dynamic examples from the live catalog and serves as an onboarding entry point. No contradictions found.

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 appropriately front-loaded with common user queries and provides all necessary information in a structured way. While it is a bit long, every sentence adds value and there is no redundancy.

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 tool's simplicity (one optional parameter, no output schema needed) and the richness of annotations, the description fully covers when and how to use it. It addresses the primary use case and leaves no ambiguity.

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% and the description provides a clear enumeration of acceptable topic values ('finance, pharma, economics, real-estate, betting, weather, government, science, news'), enhancing the schema's description. It also explains the effect of omitting the parameter.

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 states it is the 'onboarding entry point' that returns 'category-bucketed example questions' with exact tool+argument shapes. It distinguishes itself from sibling tools like ask_pipeworx, entity_profile, etc., by specifying its role as a first-use resource.

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' and provides instructions for calling with no arguments or with a topic parameter. The description also lists the valid topic values, making it clear when to use each option.

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