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

Beyond annotations (readOnly, openWorld, idempotent, non-destructive), the description adds rich behavioral context: it returns example questions with tool+argument shapes, can be called with no arguments for full spread or filtered by topic, and draws from a live catalog. It also notes it's the entry point for onboarding.

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 concisely structured, front-loaded with varied phrasing of the user need, and efficiently covers purpose, usage, and expected output without unnecessary verbiage. Every sentence adds 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 the tool's simplicity (one optional parameter, no output schema), the description is fully complete. It explains when to use, how to invoke, what the output contains, and how it fits into the broader tool ecosystem, leaving no meaningful gaps.

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?

Although schema coverage is 100% (one parameter, topic), the description adds significant meaning by listing specific topic options (finance, pharma, etc.) and explicitly stating that omitting the parameter gives a cross-category spread. This goes beyond the schema's basic description.

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 returns category-bucketed example questions to help users get started. It lists specific categories and explicitly distinguishes itself as an onboarding entry point, setting it apart from siblings like ask_pipeworx or discover_tools.

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 advises to use this tool FIRST when unfamiliar with Pipeworx, and explains how to call it with or without the topic argument. It also mentions it can teach how to call meta-tools, providing clear when-to-use guidance relative to alternatives.

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