bind_book_node_to_lesson

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

Despite no annotations, the description discloses critical behavioral traits: it only updates a single column (book_node_ids) using partial updateById, explicitly warns about a historical bug where full row upsert erased paper_slots, and details the return format for each action. This exceeds minimal expectations.

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 well-structured with a clear purpose, context, warning, parameter list, and return format. It is front-loaded but slightly verbose due to the historical warning; still every sentence adds value.

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?

Given the complexity and presence of an output schema, the description covers main use cases and return types. It does not mention error handling or invalid inputs, but is sufficient for an AI agent to invoke the tool correctly.

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?

With 0% schema description coverage, the description fully compensates by detailing each parameter: lesson_id (string), node_id (string, ignored for action=materials), action (default 'bind', values explained). It adds meaning beyond the bare schema structure.

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 tool's purpose: binding, unbinding, or querying book chapter nodes to lesson material positions. It distinguishes from the sibling tool bind_special_to_lesson by noting that both are material slots and their union determines lesson readiness.

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?

The description explains the three actions (bind, unbind, materials) and their effects. It implicitly guides usage by noting the relationship with bind_special_to_lesson, but does not explicitly state when to choose this tool over alternatives or provide exclusions.

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