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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false, so the agent knows it's safe. The description adds value by explaining that it returns example questions with tool+argument shapes, and that calling with no arguments gives a full spread. No contradictions or hidden behaviors omitted.

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 front-loaded with alternate phrasings, which is helpful. It lists categories inline, which adds length but is informative. It could be slightly more concise, but overall it is well-structured and every sentence adds value.

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 simple tool with one optional parameter and no output schema, the description is complete. It explains when to use, what it returns (category-bucketed examples with exact tool calls), and the optional topic filter. No gaps are evident given the tool's straightforward purpose.

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 coverage is 100% with the only parameter 'topic' described in the schema. The description adds examples ('finance', 'pharma') and notes that omitting gives full spread. This adds marginal value beyond the schema, justifying baseline 3.

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 is an onboarding entry point that returns category-bucketed example questions. It uses specific verbs ('suggest questions') and distinguishes itself by advising to use it first when unsure of capabilities. The sibling list includes other tools like 'discover_tools', but this description uniquely positions it for initial exploration.

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 tells when to use ('FIRST when you do not yet know what Pipeworx can do for you') and provides example user intents. It implies alternatives (meta-tools) but doesn't explicitly exclude other scenarios. Clear context is provided, but could be stronger on when not to use.

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