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

Annotations (readOnlyHint, openWorldHint, idempotentHint, destructiveHint) already convey safety and idempotency. The description adds detail about the response format (category-bucketed example questions with tool+argument shapes) and the optional topic parameter, which provides useful context beyond 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 common queries, then explaining response characteristics, and ending with usage guidance. It is informative but slightly verbose; however, all sentences add 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?

Despite no output schema, the description fully explains what the tool returns (category-bucketed example questions with exact tool and argument shapes) and the effect of the topic parameter. For a tool with a single optional parameter, this provides complete context for the agent to use it correctly.

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%, but the description adds meaning by listing possible topic values (finance, pharma, etc.) and explaining the effect of omitting the parameter (full spread). This provides guidance the schema alone does not.

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 returns category-bucketed example questions and serves as the onboarding entry point. It distinguishes from siblings like ask_pipeworx and discover_tools by specifying it's for learning 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?

Explicitly says 'Use this FIRST when you do not yet know what Pipeworx can do for you' and mentions learning how to call meta-tools. Provides clear usage context, and the description implies when not to use it (if already familiar).

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