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

Annotations already declare readOnly, openWorld, and idempotent hints. The description adds context by detailing the output structure (category-bucketed questions, exact tool + argument shape) and the behavior of full spread vs topic-focused calls. No contradictions, but it doesn't disclose details like response size or pagination, hence a 4.

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 the bare minimum but every segment serves a purpose: example phrasings, category list, output detail, and usage modes. It is front-loaded with user intents and well-structured, though the initial list of example queries could be slightly trimmed without losing core meaning. Still concise and effective.

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 tool with one optional parameter, no output schema, and rich annotations, the description fully covers what the tool does, what it returns, how to call it, and when to use it. It also connects to related meta-tools, making it a complete onboarding resource.

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 schema covers the topic parameter 100% with allowed examples and guidance. The description reinforces this by showing no-argument vs topic-focused usage and adding concrete topic values ('finance', 'pharma', 'betting'). Since the schema already covers the parameter well, the description's additional value is modest but useful, warranting a 4.

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 role as an onboarding entry point that suggests example questions, using specific verbs like 'Returns category-bucketed example questions' and 'the exact tool + argument shape.' It distinguishes itself from sibling tools by instructing to use it FIRST when unfamiliar with Pipeworx, making its purpose unambiguous.

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 to use this tool FIRST when you don't know what Pipeworx can do, and to learn how to call meta-tools. It provides clear context on when to use it but lacks explicit exclusions or direct comparisons to alternative tools like discover_tools, so it falls slightly short of full alternative guidance.

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