cinematic_view

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

Annotations declare readOnlyHint=false, idempotentHint=true, and destructiveHint=false, so the mutation/reversibility profile is partly covered structurally. The description adds genuinely useful behavioral detail: fog, deep shadows, depth-cueing, dark background, and altered material properties on protein. It does not say whether this overwrites prior scene settings or affects subsequent renders/exports, which would matter for a non-read-only tool.

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 core instruction is front-loaded in the first sentence, which is good. But the remaining three sentences are largely atmospheric prose ('dramatic and imposing', 'emphasizes volume and scale') that repeats the cinematic theme rather than adding operational information.

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 tool is simple (one required parameter) and has an output schema, so return values need not be described. The description conveys the visual effect well enough to decide whether to call it. The main gap is how it composes with or overrides other view settings and whether it applies only to protein objects.

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% for the single required parameter obj_name, so the schema already explains it with an example. The description adds no further parameter meaning, which is acceptable at full coverage but earns only the baseline.

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: 'Configures PyMOL for a depth-cued, cinematic look with dramatic lighting.' The first sentence alone lets an agent distinguish this from generic styling tools. However, it never distinguishes itself from the many other *_view siblings (textbook_view, pointillist_view, textbook_view, etc.), so an agent must infer the difference from names alone.

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?

There is no guidance on when to use this view instead of the large family of alternative view tools (textbook_view, pointillist_view, hydrophobic_surface_view, etc.), nor any prerequisites or exclusions. Usage can only be inferred from the aesthetic prose.

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