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

Annotations already disclose the safety profile (readOnlyHint=false, destructiveHint=false), and the description adds real behavioral context: it describes the effect of the 'eu' mode (models refused with alternatives) and points to lab_list_models eu: true as the way to see permitted models. It stops short of covering anything like auth needs or limits, but it adds substantive context beyond the annotations.

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?

Front-loaded with purpose and return value, then the optional parameters, with no filler sentences. The 'eu' clause is dense but every clause carries information; slightly tighter phrasing would reach a 5.

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?

There is no output schema, so the description compensates by stating the returned id and datenmodus. Both optional parameters and the default behavior are documented, and annotations cover the mutation safety profile, so an agent has everything needed to call it 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?

Schema coverage is 100%, so baseline is 3, but the description genuinely enriches the enum semantics — 'eu' is explained as restricting to models whose data path is proven inside the EU, and 'frei' as allowing every model — plus the omit-for-default rule. That is more than the terse schema strings provide.

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 ('Create a new FilmLab project') and immediately names what it returns (project id and datenmodus). This distinguishes it cleanly from sibling creation tools such as lab_create_sequence, lab_create_character, or lab_get_project without opening any schema.

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?

Usage is largely implied by the resource name — create a project — and the description explains that title and datenmodus are optional with a sensible default when omitted. However, it never states when to use this versus alternatives or any prerequisite (e.g., must a project exist before adding sequences), leaving routing to inference.

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