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

Annotations already indicate read-only, open-world, idempotent, non-destructive behavior. The description adds context about returning category-bucketed example questions with tool+argument shapes, which is valuable beyond annotations. No contradictions.

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 front-loads common query phrases and lists categories, but it is somewhat verbose with full category list and repetition. It could be more concise while retaining key information.

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?

For a tool with no output schema, the description adequately explains what is returned (category-bucketed examples) and context (live tool catalog). It covers the essential information for initial use, though output details could be more explicit.

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 description for the single `topic` parameter. The description adds usage nuance (omit for full spread) and lists valid examples, going slightly beyond the schema. Baseline 3 is surpassed.

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 it is the onboarding entry point for suggesting example questions, listing specific categories and mentioning use of live tools. It distinguishes itself from siblings by positioning itself as a meta-tool for exploration, not a domain-specific query tool.

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 says to use this 'FIRST when you do not yet know what Pipeworx can do for you' and explains when to pass a topic vs. omit. It could improve by stating when not to use it (e.g., for direct queries), but the guidance is clear and actionable.

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