gemini-mcp
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TDQS
Scored across 13 tools
The four image-centric tools (gemini_image_generate, gemini_image_edit, gemini_image_set, gemini_interact) genuinely overlap, but the descriptions explicitly route between them (use interact for iterative work, edit for one-off edits, set for batches). Video and music tools are clearly distinct modalities, and get_result/token_usage/healthcheck have no ambiguity. Only the generate-vs-interact boundary remains a mild judgment call.
All names share the gemini_ prefix and snake_case, so the set reads predictably. However, ordering is mixed: media tools use resource_action (image_generate, video_generate) while file tools use action_resource (upload_file, list_files), and a few tools are noun-only (healthcheck, token_usage). Minor deviation, not confusing.
13 tools is well within the sweet spot and each earns its place: generation per modality (image/video/music), file lifecycle, async result retrieval, cost tracking, and healthcheck. No tool appears redundant or filler. The surface is appropriately scoped for a generative-media API server.
Coverage is strong: generation, iterative refinement, file upload/list/delete, async job retrieval, and token/cost accounting form a full lifecycle with no obvious dead ends. Minor gaps exist — gemini_list_models appears image-only (no video/music model listing) and there is no explicit job-cancel tool, though agents can work around both.