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

Annotations already declare readOnlyHint=true, idempotentHint=true, so the tool is clearly safe. The description adds valuable behavioral context by explaining the return structure (category buckets, exact tool + argument shape) and that results are 'drawn from the live catalog of thousands of tools.' It also discloses the optional topic parameter's effect. This goes beyond the annotations without contradiction.

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 front-loads key information and every clause adds value. It could be slightly better structured with sentence breaks, but it remains efficient and readable. It's appropriately sized for the tool's complexity.

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 lightweight, read-only onboarding tool with no output schema, the description is complete: it explains what is returned, how to invoke it (with/without topic), and its role as the 'first' tool to call. It doesn't detail the exact output JSON structure, but that's not essential given the tool's purpose and the absence of an output schema.

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 single parameter 'topic' is fully documented in the schema, including its allowed values and the omit-for-spread behavior. The description only repeats these examples (finance, pharma, betting) without adding deeper semantics, so it meets the baseline but doesn't elevate beyond it.

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 states the tool's function: 'Returns category-bucketed example questions... each with the exact tool + argument shape that answers it.' It identifies the resource (Pipeworx capabilities) and distinguishes itself from siblings by explicitly naming it the 'onboarding entry point' and referencing how to call meta-tools. The verb+resource+scope are specific and unambiguous.

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 gives explicit usage context: '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 the parameter behavior (omit for full spread, pass topic to focus). However, it lacks an explicit when-not-to-use statement or comparisons to sibling tools like discover_tools or ask_pipeworx, so it's clear context but no exclusions.

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