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

Beyond annotations, the description discloses that the tool validates, saves, generates character sheets, panel/unit art, motion clips, voice-over, and assembles the public reader. This conveys significant side effects and mutation, consistent with readOnlyHint=false and destructiveHint=false. It does not mention costs or return values, but annotations already cover the safety profile.

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 a single, well-structured sentence that front-loads the purpose and then details the pipeline. Every clause adds actionable context, with no filler or redundancy.

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?

The description covers the input and processing pipeline comprehensively, but omits what the function returns or how the agent should follow up. Since there is no output schema, this return-value gap is a notable omission, though sibling tools like comic_status may imply monitoring.

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%, with all five parameters well-described in the input schema. The description does not add param-specific semantics beyond the overall workflow, so the baseline of 3 is appropriate.

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 accepts a client-authored Living Panels Story JSON and starts artifact production, including the specific pipeline (validate, save, generate, assemble). It distinguishes itself from sibling tools like comic_submit_revision and create_comic by emphasizing client-directed input and avoiding the server story LLM.

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 the client authors the story directly, without relying on a server LLM. It implies a workflow but does not explicitly name alternatives or exclusions, making it helpful but not fully prescriptive.

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