generate_image_batch

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

No annotations are provided, so the description carries the full transparency burden. It discloses important behavioral traits: automatic fallback to MCP server directory on write failure, priority of saveToFilePath over outputDir, and default concurrency. It does not mention return format or error handling, but the disclosed behaviors are substantial.

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 concise and front-loaded: the first sentence establishes the tool's purpose, the model list is compact, and the path rules are presented as a numbered list. Every sentence adds value with no fluff 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?

Given the tool has 7 parameters with 100% schema coverage and no output schema, the description adequately enhances context with path priority and fallback rules. It does not explicitly state return values, but the output is implicitly file paths, and the description covers the critical behavioral aspects for a batch tool.

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%, so the baseline is 3. The description adds some value by grouping models by quality/speed and explaining path fallback, but most parameter semantics are already present in the schema. No major compensatory additions exist.

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 '批量生图（单张或多张，高并发）' – batch image generation (single or multiple, high concurrency). It also lists supported models and options, effectively distinguishing itself from sibling tools like edit_image_nano, images_to_pdf, and images_to_pptx.

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 strong contextual cues: batch vs single, high concurrency, path priority rules, and fallback behavior. However, it does not explicitly name alternative tools or state when not to use this tool, so it stops short of a perfect 5.

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