LimaCharlie MCP
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TDQS
Scored across 297 tools
The tool set contains many near-identical resource families, such as list/get/preview_set/preview_delete/preview_set_enabled wrappers for secrets, lookups, cloud adapters, external adapters, playbooks, SOPs, org notes, AI agents, AI skills, and generic Hive records. Memory tools like lc_get_ai_memory, lc_get_ai_memory_record, lc_list_ai_memories, and lc_list_ai_memory_records further blur boundaries, making misselection likely.
Most tools follow a consistent lc_verb_noun pattern, especially list/get/preview_set/preview_delete, which is helpful at scale. However, there are minor deviations such as lc_auth_whoami, lc_tool_catalog, lc_fetch_config, and the mixed use of preview_set versus preview_create/preview_update for similar operations.
297 tools is an extreme count for any MCP server, far beyond the well-scoped range. Even with LimaCharlie's broad platform surface, this volume overwhelms agents and makes tool selection and reasoning impractical.
The tool surface is exceptionally broad, covering org management, sensors, detections, cases, D&R rules, Hive records, vulnerability data, AI sessions, and many extension-based workflows. Minor lifecycle gaps exist, such as no single-output get/update, no case deletion, and no case-note update/delete, but most workflows can proceed without dead ends.