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

Annotations already signal safe read-only, open-world, idempotent behavior. The description adds substantial context: it draws from the live catalog of thousands of tools and returns category-bucketed example questions with exact tool+argument shape, plus the option to focus by topic. This goes well beyond the 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 longer but every sentence contributes: example queries, output contents, parameter behavior, and usage guidance. It is front-loaded with natural-language examples and avoids redundancy with schema fields.

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 and one optional parameter, the description fully covers what it returns, how to invoke it, and when to use it, including naming related meta-tools. Nothing essential is missing.

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 documents 'topic' with 100% coverage, establishing a baseline of 3. The description adds semantic richness by listing example values ('finance', 'pharma', 'betting') and explaining that omitting it gives a cross-category spread, which helps choose appropriate inputs.

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 learning what Pipeworx offers, returning category-bucketed example questions with exact tool and argument shapes. It uses a specific verb (returns) and resource (example questions from live catalog), and distinguishes itself from siblings by being the 'FIRST' tool to use when unfamiliar.

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.' It also explains how to focus with a topic parameter and when to call with no arguments. This provides clear when-to-use guidance relative to alternatives.

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