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

Annotations already indicate safe, read-only, idempotent behavior. The description adds rich behavioral context beyond annotations: it explains what the tool returns (category-bucketed examples with tool/argument shapes) and that it draws from a live catalog. No contradictions with 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 the purpose and trigger phrases, and is packed with useful information. It is slightly longer than necessary but each sentence adds value. Could be more concise by omitting the full list of topics already in the schema, but overall efficient.

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 simple input (one optional param) and no output schema, the description fully covers what the tool does, what it returns, and when to use it. It provides complete context for an AI agent to decide when and how to invoke this 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 coverage is 100% for the single optional parameter. The description repeats the parameter's possible values and usage, but does not provide additional semantic meaning beyond what the schema already specifies. Baseline 3 is appropriate.

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 an onboarding entry point that returns category-bucketed example questions with exact tool and argument shapes. It lists multiple trigger phrases and explicitly distinguishes it from sibling tools by advising to 'use this FIRST' when unsure 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 advises to use this tool first for onboarding and learning meta-tools, and provides clear instructions on calling with no arguments for full spread or with a topic parameter to focus. It implies when not to use it by mentioning meta-tools as alternatives, but does not explicitly list exclusions.

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