e2e_tir_list_notebooks

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

With no annotations, the description carries the full burden, and it discloses little: no auth/permission requirements, no pagination behavior despite page_no/per_page parameters, and no note that results are filtered by default. It also implies AI Labs and notebooks are both returned, while the schema default instance_category='notebook' would return only notebooks.

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 filler, naming the verb, resource, and platform. It is efficient, though arguably too terse given the undisclosed default filtering and pagination.

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?

Adequate for a simple list tool with 100% schema coverage and no output schema, but it omits pagination semantics and the default instance_category behavior, which an agent needs to interpret results correctly. The stated scope also conflicts mildly with that default.

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 six parameters are already documented in the schema; the description adds no filter syntax, default behavior, or meaning beyond the resource scope. Baseline 3 is appropriate when the schema does the heavy lifting.

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 ('List') and resource ('AI Labs and Jupyter notebook instances in E2E TIR'), so an agent can distinguish it from e2e_tir_create_notebook and e2e_tir_notebook_action. It does not explicitly differentiate itself from the other tir_list_* siblings, but the resource noun does that implicitly.

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 mention of alternatives among the many sibling list tools, and no indication of prerequisites or when the optional filters should be applied. The agent must infer everything from the name.

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