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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and non-destructive intent. The description adds that results are 'drawn from the live catalog', implying dynamic and potentially changing output, and explains the no-arguments vs. topic-passing behaviors. This is useful context beyond the structured 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 verbose but front-loaded with natural-language user queries, making it scannable for an agent. It packs a lot of information—categories, output shape, usage instructions—without wasted sentences. Slightly long but each element contributes to understanding.

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?

Despite lacking an output schema, the description fully covers what the tool returns (category-bucketed example questions with tool and argument shapes), when to use it, and how to vary the call via the topic parameter. It is sufficiently complete for an onboarding/discovery 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% with a clear description of the optional topic parameter. The description reinforces semantics by providing example values ('finance', 'pharma', 'betting') and clarifying that omitting the parameter yields a cross-category spread, adding meaning beyond the schema.

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 opens with the user-facing intents ('What can I ask Pipeworx?', 'give me ideas') and clearly states it is the 'onboarding entry point' for discovering what to ask. It specifies the output as category-bucketed example questions with the exact tool and argument shape, thereby distinguishing it from sibling meta-tools like ask_pipeworx or entity_profile.

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 instructs to 'Use this FIRST when you do not yet know what Pipeworx can do for you, or to learn how to call the meta-tools'. Provides topic examples to focus the call and notes that omitting topic returns a full spread. Lacks an explicit 'when not to use' clause, but the directive to use it first establishes clear context.

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