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

Annotations already declare readOnly, openWorld, idempotent, and non-destructive. The description adds valuable context: results are drawn from a live catalog of thousands of tools, output is category-bucketed, and behavior varies based on whether topic is omitted or provided. 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 a dense paragraph but every sentence earns its place: example queries, return content, usage variants, and positioning. It could be slightly more scannable with bullets, but it is well-organized and not bloated.

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?

With no output schema, the description fully conveys what the tool returns (category-bucketed example questions with tool+argument shapes) and covers both invocation modes (no args vs. topic). It also mentions the live catalog source, 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 coverage is 100% and already explains the topic parameter with allowed values and the 'omit for cross-category spread' behavior. The description only repeats examples (finance, pharma, betting) without adding new semantic information, so 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 is the onboarding entry point for new agents, returning category-bucketed example questions with exact tool+argument shapes. It distinguishes itself from siblings by being the 'FIRST' tool to use and explicitly names the meta-tools it helps you learn.

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?

Provides explicit guidance: 'Use this FIRST when you do not yet know what Pipeworx can do for you, or to learn how to call the meta-tools.' This tells when to use it, and the topic parameter is explained. However, it does not explicitly mention when NOT to use it or name alternative tools like discover_tools.

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