start_learning_batch

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

With no annotations, the description carries the full burden and does disclose meaningful traits: it reuses the existing single browser (shared-state implication), runs sequentially, and 'Never automatically answers/submits quizzes' (a clear safety boundary). It says nothing about whether the call blocks until completion, what it returns, or how failures mid-batch are handled.

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?

Front-loaded with the core verb and scope, then a compact payload shape line, then constraints. Every sentence carries information and the dense accounts syntax line earns its place given the 0% schema coverage, though the bare 'accounts=[...]' line without a label reads slightly cryptic.

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 batch orchestration tool with no annotations and no output schema, the description omits return behavior (progress, failure reporting), the meaning of rate and state_path, and how completion is signaled. An agent knows how to shape accounts but not how the call behaves over its lifetime.

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 coverage is 0%, so the description must compensate and it does well for the required parameter, spelling out the accounts=[{account_id, courses:[...]}] shape including the name-or-{name,course_id} union. However, rate, state_path, and media_checkpoint are entirely undocumented in both schema and description, leaving three of four parameters unexplained.

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 ('Run imported accounts sequentially with exact enrolled-course matching'), which pins down both the operation and the matching policy. The word 'sequentially' implicitly separates it from the parallel-batch siblings, but the sibling is never named, so differentiation requires inference.

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?

Provides real routing guidance: 'If a review is needed use existing review tools, then resume_learning_batch' tells the agent to hand off mid-batch and re-enter via a named sibling. It does not say when to prefer this over start_parallel_learning_batches, so the choice between sequential and parallel is left unstated.

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