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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false, so the bar is lower. The description adds behavioral context that results are drawn from the live catalog (implying current data) and that the tool returns structured mappings from example questions to tools/arguments. No contradiction 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 single dense paragraph that front-loads with example queries and flows logically from purpose to usage to parameter guidance. Every sentence adds value, though it is slightly longer than necessary. Good structure for an onboarding tool.

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 carries the burden of explaining return values, and it does so thoroughly: category-bucketed example questions, each with the exact tool and argument shape, drawn from the live catalog. It also covers argument behavior and when to use the tool, making it complete for an onboarding meta-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% since the only parameter (topic) is fully described in the schema, including allowed values and omission behavior. The description repeats some of this with examples ('finance', 'pharma', 'betting') but adds little 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 clearly identifies the tool as the onboarding entry point for agents, explicitly stating it returns category-bucketed example questions with exact tool and argument shapes. It distinguishes from siblings by positioning itself as the first tool to use and by naming the meta-tools (ask_pipeworx, entity_profile, compare_entities) it teaches.

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 gives explicit usage 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.' It also explains when to omit or pass the topic parameter ('Call with no arguments for the full spread, or pass `topic` to focus'). No explicit exclusions, but the when-to-use is clear.

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