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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint. The description adds valuable context: output structure (category-bucketed example questions), the dynamic origin ('drawn from the live catalog of thousands of tools'), and the behavior of returning exact tool+argument shapes. It does not contradict annotations and enriches the safety profile.

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 example phrasings, then purpose, then output/usage. Every section earns its place, though the abundance of example queries makes it slightly longer than necessary. It is well-structured but could be trimmed modestly without losing value.

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 thoroughly explains the return value: category-bucketed example questions with exact tool+argument shape, listing the categories explicitly. It also covers parameter usage, default behavior (full spread vs. focus), and the ideal usage scenario, 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 already provides 100% coverage for 'topic' with an explicit enum-like list. The description adds examples ('finance', 'pharma', 'betting') and clarifies the omission semantics ('Omit for a cross-category spread'), which complements the schema without repeating it.

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 opens with multiple example user intents ('What can I ask Pipeworx?', 'give me ideas') and states it is 'the onboarding entry point for an agent that just connected and wants to know what is worth asking.' It clearly specifies the resource (example questions) and action (returns a categorized spread), and differentiates itself from sibling tools by mentioning meta-tools like ask_pipeworx and 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?

Explicitly instructs to 'Use this FIRST when you do not yet know what Pipeworx can do for you, or to learn how to call the meta-tools.' It also clarifies optional topic filtering ('pass topic to focus') and when to omit it for the full spread, giving clear contextual guidance without naming alternatives directly.

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