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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, destructiveHint=false. The description adds valuable behavioral context: it returns 'category-bucketed example questions (company financials, drugs & clinical trials, ...) each with the exact tool + argument shape' and is drawn from a live catalog. No contradiction with 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 well-structured, starting with synonyms and then the core purpose. It is slightly long but each sentence adds value. It is front-loaded with the main use case. Could be marginally trimmed but remains highly informative.

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 tool's simplicity (one optional parameter, no output schema), the description is complete. It covers purpose, when to use, what it returns (category-bucketed examples), and how to call it. No gaps.

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 one optional parameter 'topic'. The description adds meaning: it explains the possible values ('finance, pharma, economics, etc.') and that omitting gives a cross-category spread. This goes beyond the schema's description.

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: it returns category-bucketed example questions with exact tool and argument shapes. It uses specific verbs ('returns', 'draws from') and resources ('category-bucketed example questions', 'live catalog'). It distinguishes itself from siblings by positioning as the onboarding entry point for an agent that just connected.

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 when to use it: 'Use this FIRST when you do not yet know what Pipeworx can do for you' and 'Call with no arguments for the full spread, or pass topic to focus'. It also mentions alternative meta-tools but does not explicitly state when not to use it. However, the guidance is clear and direct.

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