SeedreamMCP
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TDQS
Scored across 7 tools
Each tool targets a clearly distinct operation: generate (text-to-image), edit (modify existing), decompose (split into layers), and the query/introspection tools. The single-vs-batch task querying pair (seedream_get_task vs seedream_get_tasks_batch) has an explicitly documented boundary, and list_models vs list_sizes cover different concerns.
Every tool follows a uniform seedream_ prefix plus a consistent verb_noun snake_case pattern (generate_image, edit_image, get_task, list_models). No mixing of conventions or casing styles.
Seven tools is well-scoped for an image generation service, with no redundant entries. Each tool maps to a distinct capability (three image operations, two query tools, two discovery tools).
Core lifecycle is covered: image creation, editing, decomposition, task status polling (single and batch), plus model and size discovery. Minor gaps exist around task management actions (e.g. cancel/delete task) and post-processing like upscaling, but the main workflows are fully supported.