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 this is a safe, idempotent read operation. The description adds valuable behavior beyond annotations by explaining that it returns category-bucketed example questions with exact tool + argument shapes, and that it draws from the live catalog of thousands of tools.

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 ideal but every sentence contributes: the leading user-phrased queries signal natural language triggers, the category list explains output scope, and the usage guidance is actionable. It is not bloated or repetitive, and the key usage instruction ('Use this FIRST') is placed near the end but remains prominent.

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?

The tool is simple (one optional parameter, no output schema), but the description fully covers what the tool returns, how to use it with and without the topic parameter, and when to prefer it. It also explains the connection to meta-tools, which is sufficient for an agent to invoke it correctly in an onboarding context.

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 describes the single 'topic' parameter with a full list of allowed values and the note to omit for a cross-category spread, giving 100% schema description coverage. The description adds example topics ('finance', 'pharma', 'betting') and confirms the 'omit for full spread' behavior, but it does not materially go beyond what the schema already conveys.

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 purpose as the onboarding entry point for an agent that just connected and wants to know what Pipeworx can do. It uses a specific verb+resource ('suggest questions', 'what can I ask Pipeworx') and distinguishes itself from siblings by emphasizing it is the 'use this FIRST' tool and by describing its role relative to meta-tools like ask_pipeworx and compare_entities.

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 says 'Use this FIRST when you do not yet know what Pipeworx can do for you, or to learn how to call the meta-tools', which provides clear context for when to use it. It does not mention explicit exclusions or alternatives like discover_tools, but it does name related meta-tools, giving partial guidance.

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