notebook_assistant_warm

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

Annotations declare readOnlyHint=true, and the description is consistent with that. It adds real value beyond the annotation by disclosing 'no model call', telling the agent this is a free, latency-optimizing action rather than an inference request. It does not address idempotency or prerequisites, so it stops short of a 5.

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?

A single front-loaded sentence with the action first and the crucial qualifier ('no model call') in parentheses. Nothing is wasted.

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 simple pre-warm tool with annotations covering the safety profile and no output schema, the core intent is conveyed. However, the unexplained 'profile' parameter and the unstated behavior when the notebook is not open leave it only minimally complete.

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 description coverage is 0% and the description mentions no parameters at all. The required notebook_id is at least obvious from the name, but the optional 'profile' parameter is completely undocumented in both the schema and the description, leaving a real gap.

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?

States a specific verb and resource ('Start the notebook's assistant process') and clarifies the trigger point ('ahead of the first question'). It implicitly separates itself from notebook_ask via that timing cue, though it never names the sibling it is a precondition for.

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?

'Ahead of the first question' clearly conveys when to use it: as a pre-warm before asking. There are no exclusions or explicit pointer to notebook_ask, so the routing is inferred rather than stated.

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