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

Annotations already establish that this is a safe, read-only, non-destructive, non-open-world call. The description adds useful behavioral context by saying it starts nothing, answers with an overview and ready-test list, and can render as a card or as plain words for hosts without card support.

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 purpose and usage are front-loaded, but the description is long, clause-heavy, and occasionally meanders into details about downstream tools. The parenthetical capability summary and the 'three years a run' phrase add bulk without clearly helping the caller use get_started itself.

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 zero-parameter onboarding tool with no output schema, the description gives enough context about what the response contains: QuanterLab's capabilities, a list of one-tap tests, and a plain-text alternative. It stops short of describing the exact response structure, but an agent can still call 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?

There are zero input parameters and schema coverage is complete, so there is no parameter semantics burden. The description appropriately adds no parameter guidance because none is needed.

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 that this is the first-contact/orientation tool that explains what QuanterLab is and what it can do. It distinguishes the tool from action-taking siblings by saying 'It starts nothing' and by routing picked tests to start_test and custom ideas to build_circuit.

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?

It explicitly names the triggering situations: a hello, a question about QuanterLab, a request for help, or someone with no rule in mind yet. It also names the alternatives for next steps, including start_test for a selected test and build_circuit for a user's own idea.

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