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

Annotations already establish read-only, open-world, idempotent, non-destructive behavior. The description goes beyond annotations by disclosing the return shape (category-bucketed example questions with tool and argument mapping), the live-catalog source, and the no-argument/filtered-topic behaviors. This is more behavioral detail than the minimum.

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 dense and front-loads the core purpose, but it is slightly padded by listing many query phrasings and the full set of categories. Still, every major sentence contributes: purpose, output format, argument behavior, and usage timing.

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 there is no output schema, the description adequately explains what will be returned: category-bucketed example questions, each paired with the exact tool and argument shape. It also covers argument handling, the live catalog source, and the intended first-use scenario, leaving no critical gap for an agent deciding whether and how to call it.

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?

The schema already covers the only parameter with 100% coverage, including valid focus areas and omit behavior. The description adds example topics and the idea of 'focusing,' but does not meaningfully extend the schema's meaning. Baseline 3 is appropriate because the schema carries the semantic load.

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 a specific purpose: an onboarding entry point that suggests example questions and maps each to the exact tool and argument shape. It differentiates from siblings by framing itself as the 'FIRST' tool to use when the agent does not yet know Pipeworx's 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?

It gives explicit when-to-use 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 does not explicitly state when not to use it or name direct alternatives, but the context is clear enough to guide selection.

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