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

Annotations already mark the tool as read-only, idempotent, and non-destructive. The description adds behavioral context by describing the output structure (category-bucketed example questions with tool + argument shape) and the list of categories. This goes beyond what annotations provide, giving the agent a clear picture of what to expect.

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 relatively long but well-structured: it starts with example questions, then explains the output, then gives usage instructions. Every sentence serves a purpose. It could be slightly more concise by moving the category list to a more compact form, but overall it's well-organized.

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?

There is no output schema, so the description must explain the return value. It does so by describing the category-bucketed examples and the tool shapes. It also covers usage with and without the topic parameter. For a simple tool with zero required parameters, this is fairly complete.

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 single optional 'topic' parameter that lists possible values. The description reinforces the behavior of omitting vs. providing a topic and gives example values, but it does not add significant new meaning beyond the schema. 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 uses specific verbs ('suggest questions', 'returns category-bucketed example questions') and clearly identifies this as the onboarding entry point for a new agent. It distinguishes itself from siblings like 'ask_pipeworx' and 'discover_tools' by positioning itself as the first tool to call 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 states '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 explains when to call with no arguments vs. with a topic. However, it does not explicitly state when NOT to use it (e.g., after the initial onboarding), which prevents a perfect score.

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