e2e_tir_create_notebook

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

With no annotations, the description carries the full burden. "Provision" implies a write operation, but it says nothing about billing/cost implications, required permissions, whether provisioning is asynchronous or long-running, or what happens on a name collision — all critical for a GPU instance creation tool.

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 no padding. The trailing "in E2E TIR" is mildly redundant given the tool name prefix, but 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 7-parameter mutation tool with no annotations and no output schema, the description is too thin. It omits cost/permission implications, provisioning duration, and how to discover valid SKUs or image versions — information the agent needs to invoke it safely.

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 100%, so all seven parameters are already documented in the schema, including the GPU SKU examples and the pointer to e2e_tir_list_gpu_skus. The description adds only the framework context, so the baseline 3 applies.

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 ("Provision") and resource ("AI Lab instance with GPU acceleration"), and names the supported frameworks. It is clearly distinguishable from the sibling read tools like e2e_tir_list_notebooks, though it never explicitly references an alternative.

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?

There is no when-to-use guidance, no prerequisites, and no mention of alternatives. The useful routing hint ("Use e2e_tir_list_gpu_skus to list options") lives only in the schema, not in the description.

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