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

Annotations already declare read-only, open-world, idempotent, non-destructive. The description adds behavioral context beyond annotations: returns category-bucketed example questions drawn from the live catalog, and that each question includes the exact tool + argument shape. This explains the output structure and source without contradicting 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 than average but well-structured: it opens with example queries, states purpose, explains output, gives call patterns, and ends with usage guidance. Every sentence serves a purpose, though some example phrasings could be trimmed without losing essential information.

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 the simple schema (one optional param) and no output schema, the description explains return values thoroughly: category-bucketed example questions with exact tool + argument shape. It also covers when to use, how to call, and what the live catalog provides. No important gaps remain.

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 description coverage is 100%, so the parameter `topic` is already fully documented with its options. The description merely repeats examples like 'finance', 'pharma', 'betting' that are already in the schema, adding no new meaning or syntax details. 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 uses a specific verb+resource: it suggests questions about Pipeworx capabilities. It clearly distinguishes from siblings like ask_pipeworx by positioning itself as the onboarding entry point that returns example questions with exact tool + argument shape. The categories and meta-tool references make the purpose unmistakable.

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?

Explicit guidance is provided: '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 call patterns (no args vs. topic) and contrasts with asking actual questions via meta-tools. This is clear when-to-use advice with context.

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