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

The description fully discloses behavior: it returns category-bucketed example questions with exact tool calls, can be called with no arguments or a specific topic, and draws from a live catalog. Annotations (readOnlyHint, openWorldHint, idempotentHint, destructiveHint=false) are not contradicted and the description adds meaningful context beyond them.

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, well-structured paragraph. It front-loads key purpose and example questions, each sentence earns its place, and there is no fluff. The information density is high but still readable.

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 has one optional parameter and no output schema, the description covers everything an agent needs: purpose, usage timing, argument behavior, and what to expect as output. It is fully complete for its complexity.

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 clear description of the topic parameter. The description reinforces this by listing allowed values and explaining the effect of omission vs. providing a topic, adding usage nuance 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 identifies the tool as the onboarding entry point for agents, listing example queries and specifying it returns category-bucketed example questions with tool+argument shape. It distinguishes itself from siblings like ask_pipeworx by stating it should be used first when the agent doesn't know what Pipeworx can do.

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 tells when to use this tool: '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 explains how to use the optional topic parameter to focus a category, and that omitting it gives a full spread.

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