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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint. The description adds that it is the onboarding entry point, returns example questions drawn from the live catalog, and that results vary by topic. It does not contradict annotations and adds useful behavioral context, though it could mention that the examples are generated from the tool catalog (which is implied).

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 with a clear purpose at the start, followed by what it returns and how to use it. It is slightly long due to listing topics and alternatives, but every sentence adds value. The front-loading of example queries makes it 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?

Given the tool's simplicity (1 optional parameter, no output schema, low complexity), the description fully covers its purpose, usage, return behavior, and relationship to other tools. It provides enough context for an agent to decide when and how to invoke it.

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% (only 'topic' parameter described). The description adds meaning beyond the schema by explaining the effect of omitting vs. providing topic, listing specific values (finance, pharma, etc.), and stating that calling without arguments gives a full spread. This enriches the schema information.

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 identifies the tool as an onboarding entry point that returns category-bucketed example questions. It lists specific queries users might type and explains it guides the agent on what is worth asking. It distinguishes from siblings like ask_pipeworx and discover_tools by focusing on generating example questions with tool+argument shapes.

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 states '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 lists alternative tools (ask_pipeworx, entity_profile, compare_entities) and provides context for when the agent just connected.

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