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

With readOnlyHint already declared, the description adds real value: zero credit/image cost, the exact return shape (titel, bild_en, bewegung_en), and the constraint that each entry is one moment + one action with no inter-entry sequencing. This goes meaningfully beyond the annotation.

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, then cost, return format, constraints, and downstream routing in tight clauses. Dense but each sentence carries information; no filler.

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?

No output schema exists, yet the description documents the returned fields and their meaning plus the independence constraint, and the figur input handling. Complete enough for a generation tool; only the exact scoring/ordering of suggestions is left implicit.

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 adds semantics beyond the schema: figur via id uses the sheet's prompt_prefix_en, and anzahl controls the number of returned entries. This clarifies parameter behavior, not just restating it.

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+resource: 'Suggest independent visual gags for a character and theme.' Clearly distinguishes the output type (independent gags, not a story) and names the downstream sibling lab_auto_storyboard, so an agent can tell it apart from other generation tools.

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?

Tells the agent this is free (no credits/images) and routes the result: 'Select 8–16 suggestions for lab_auto_storyboard with figur_id.' This gives clear usage context and a downstream pairing, though it doesn't explicitly exclude alternative sibling tools like lab_regie_techniken or lab_propose.

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