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

Annotations already establish readOnlyHint=true and destructiveHint=false, so safety is covered; the description adds genuinely new traits — the operation is free and 'never charges' because it reuses paid analysis, and it emits a placeholder rather than a finished asset. It stops short of describing output length or failure behavior.

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?

Content is front-loaded (purpose, then inputs, then prerequisite, then optional knobs) and each sentence carries information. It runs slightly long by restating the free/never-charges point, but there is little dead weight.

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?

With no output schema, the description does the work of explaining the return value — one generation prompt with a photo placeholder, varying by engine format. Prerequisite, both input paths and the optional modifiers are all covered; only edge cases like missing/invalid report_id are unaddressed.

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 both enums (mode, engine) fully documented, so the schema carries the semantic load. The description only gestures at these ('pass mode to control what the prompt describes, and engine to pick the model format'), adding the free-cost note but no syntax or default detail beyond the schema. Baseline 3.

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: it converts one finished Video Analysis report into a single reusable generation prompt capturing look, energy, pacing and mood, with a {your photo} placeholder. It also names the source tools (analyze_video_report, list_vision_reports), so an agent can tell it apart from the raw analysis tool it consumes.

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?

Gives clear operating context: pass report_id from analyze_video_report/list_vision_reports or the exact video_url already analyzed, and run analyze_video_report first if the video is not yet analyzed. It does not, however, differentiate from the closely related enhance_video_prompt sibling or state when this tool is the wrong choice.

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