RLM server has well-structured tool definitions with complete schemas and descriptions for all 9 tools. Naming follows verb_noun convention (rlm_load_context, rlm_inspect_context, etc.). All tools have descriptions (avg ~120 chars) and input schemas with typed parameters. However, output schemas are not documented, LLMs cannot predict return structure. Error handling is minimal; tools lack recovery guidance. Parameter descriptions are adequate but lack format constraints (e.g., chunk_size bounds, provider enum rationale). Security concerns: rlm_exec allows arbitrary Python execution despite sandbox claims; blocked imports list is incomplete (missing 'eval', 'compile', 'globals', 'locals'). No pagination support for list_contexts despite potential for large result sets.

• Document output schemas for all tools. E.g., rlm_sub_query returns {result: string, depth: int, provider: string, model: string}; rlm_list_contexts returns {contexts: [{name: string, size_bytes: int, line_count: int, hash: string}], total: int}.
• Harden rlm_exec sandbox: (1) Use AST parsing instead of regex to detect imports; (2) Add 'eval', 'compile', 'globals', 'locals', 'vars', 'getattr', 'setattr', 'delattr' to BLOCKED_IMPORTS; (3) Disable __builtins__ and restrict to a whitelist (math, json, re, collections); (4) Run in a subprocess with resource limits (ulimit -t 5, -m 512M).
• Add parameter constraints: chunk_size (1-10000), max_depth (0-10), context name (alphanumeric + underscore only, max 255 chars). Validate and return 'Invalid chunk_size: must be 1-10000' on violation.
• Add pagination to rlm_list_contexts: accept limit (1-100, default 20) and offset (default 0). Return {contexts: [...], total: int, limit: int, offset: int}.
• Improve error messages. E.g., rlm_chunk_context with invalid strategy should return 'Invalid strategy: got "word". Must be one of: lines, tokens, sentences.' instead of silent failure.