build_notebook_assignment_page

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

With no annotations provided, the description carries the burden of behavioral disclosure. It adds useful context that the rubric TEXT is derived from the notebook itself and only the weight split is a default. However, it does not disclose side effects such as whether the page is created as a draft, published, or if existing pages are overwritten, nor does it mention authentication or rate limits.

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 three short sentences, front-loaded with the core purpose, followed by two informative caveats. Every sentence earns its place and there is no redundancy or fluff.

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?

This is a fairly complex tool with 5 parameters, a nested opaque lab object, no output schema, and no annotations. The description provides key caveats and a pointer to the required skill, but does not explain how course, due_at, points, and publish_to_canvas interact, nor what the return/result looks like. It is adequate but leaves important gaps for reliable invocation.

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%, so the description must compensate. It clarifies the opaque lab parameter by saying it 'describes the notebook' and hints at rubric/weight behavior. Other parameters (course, due_at, points, publish_to_canvas) are left to self-explanatory names and defaults, but the internal structure of lab is not detailed, leaving a meaningful 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?

The description clearly states the action ('Build'), the resource ('Canvas page'), and the specific scope ('Colab/Jupyter notebook assignment'), distinguishing it from the sibling tool build_coding_assignment_page. The verb+resource+scope structure is specific and unambiguous.

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 provides a clear prerequisite ('Read the nb-homework-create skill first') and context about rubric derivation, which helps the agent know how to prepare. However, it does not explicitly name alternatives or state when not to use this tool, so it stops short of a 5.

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