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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false. The description goes beyond by explaining that results are 'drawn from the live catalog' and include 'exact tool + argument shape,' which enriches the behavioral model. It also clarifies the output structure (category buckets) without contradicting any 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, but it front-loads natural-language examples, then explains the return value, invocation options, and when to use it. Every sentence contributes specific information. While not as lean as a two-sentence example, it is well-organized and free of fluff, earning a 4.

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 no output schema and one optional parameter, the description fully addresses what an agent needs: the exact return structure (category-bucketed examples with tool and argument shapes), how to call with or without `topic`, and a strong 'use this FIRST' directive. It also enumerates the category buckets, making it complete for its scope.

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 input schema already provides 100% coverage for the optional `topic` parameter, listing all valid values (finance, pharma, economics, etc.). The description adds a few extra examples ('betting') and says 'omit for a cross-category spread,' but this is essentially restating the schema. With full schema coverage, the baseline of 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 discovering Pipeworx's capabilities, stating it 'returns category-bucketed example questions' with 'the exact tool + argument shape.' It distinguishes itself from other tools by saying 'Use this FIRST' and explicitly mentions meta-tools as a separate topic, showing specific verb + resource + scope.

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 explicitly states when to use: 'when you do not yet know what Pipeworx can do for you, or to learn how to call the meta-tools.' It also explains the optional topic parameter for focusing. However, it does not name specific sibling tools it should be compared against or provide explicit when-not-to-use guidance, so it falls short of the strict 5-level.

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