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

Annotations already provide readOnlyHint, openWorldHint, idempotentHint, and destructiveHint, so the bar for extra behavioral context is lower. The description adds value by explaining that the tool returns category-bucketed example questions with exact tool names and argument shapes drawn from a live catalog of thousands of tools. This is beyond what annotations convey.

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 single long sentence that begins with a list of example queries and then explains output. While it packs useful information, it's somewhat run-on and could be better structured (e.g., separate sentences for purpose, usage, output format). Still, it avoids non-essential words.

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 is simple (0 required parameters, no output schema), the description covers what the tool returns (category-bucketed examples with tool shapes) and when to use it. This is sufficient for an onboarding tool, though it could mention that the examples are dynamic and updated in real-time.

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 parameter topic, but the description adds meaningful context: it lists the specific focus areas (e.g., finance, pharma) and clarifies that omitting the argument returns a cross-category spread. This goes beyond the schema's generic 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's purpose as the onboarding entry point for a new agent, listing example queries (e.g., 'what can you do?') and what it returns (category-bucketed example questions with tool shapes). It distinguishes itself from sibling tools like ask_pipeworx and entity_profile by positioning itself as the first tool to use when exploring capabilities.

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?

Explicitly states when to use this tool ('first when you do not yet know what Pipeworx can do') and when to pass the optional topic argument to focus results. It also provides guidance on learning how to call meta-tools, helping the agent decide to use this before others.

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