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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, destructiveHint=false, covering safety. The description adds context about what the tool returns (category-bucketed example questions) and that it draws from a live catalog of thousands of tools, without contradicting any annotations. However, it does not disclose any additional behavioral traits beyond what annotations and the return description imply.

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 trigger phrases and is well-structured, but it is somewhat verbose (multiple trigger phrases and a long list of categories). While every sentence adds value, it could be slightly more concise without losing clarity. Overall, it earns its length.

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 role as a discovery tool with many siblings, the description is complete. It explains the purpose, the return format (category-bucketed examples with tool+argument shapes), usage variants (no args vs topic), and when to use it. No output schema exists, but the description adequately covers the return value and 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?

Schema coverage is 100% (one optional parameter with description). The description adds meaningful context: the topic parameter values (finance, pharma, etc.) and the default behavior when omitted (full spread). This goes beyond the schema's description of 'Optional focus area' by listing example values and the effect of omission.

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 it is the onboarding entry point for an agent to learn what questions to ask Pipeworx. It specifies it returns category-bucketed example questions with tool+argument shapes, and distinguishes itself from sibling meta-tools like ask_pipeworx and entity_profile by being the first tool to use when the agent doesn't know what Pipeworx can do.

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 provides when to use this tool: '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 gives guidance on how to call it (with no arguments for full spread, or pass topic to focus) and mentions alternatives implicitly by referring to meta-tools.

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