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

No annotations are present, so the description carries the transparency burden. It discloses the exact starting chapter position, the target_chapters constraint, and that progress and stability summaries are produced. It does not fully describe persistence or error behavior, but the core side effects are adequately communicated.

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 sentence contains all key behavior: batch operation, starting position, chapter count, cap constraint, and output summary. No filler or repetition.

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 no output schema, the description at least notes a progress and stability summary. It covers start position, count, cap, and target words indirectly via the schema. A minor gap is not explicitly stating the return format or what happens when the cap is exceeded, but overall it is sufficient for 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 coverage is 100%, giving a baseline of 3. The description adds meaningful semantics by tying n_chapters to the target_chapters remaining quota and clarifying that generation starts after the last stored chapter, enriching the schema alone.

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 states a specific verb and resource: batch-generate chapters from the stored maximum chapter order plus one. It clearly differentiates this from siblings like compose_chapter by emphasizing batch and continuous generation with a target_chapters cap.

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 provides clear context for when to use this tool: when continuing a story in bulk after existing chapters, constrained by the cap set in create_work. It does not explicitly name alternatives or exclusions, but the context is strong enough for an agent to distinguish it from single-chapter composition.

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