This server has critical structural and documentation gaps. The tool is dynamically generated from contract ABIs at runtime, which means tool definitions are inferred rather than explicitly registered in source code. The single tool pattern '{contractname}_{functionname}' is generated by generateToolsFromAbi() in src/tools/generateTool.ts. While the code shows reasonable parameter schema (Zod object with 'args' array) and basic error handling, there are severe deficiencies: (1) The tool naming convention lacks action verbs and violates the verb_noun pattern, '{contractname}_{functionname}' is structural, not semantic (e.g., 'usdc_transfer' instead of 'transfer_tokens' or 'call_contract_function'). (2) The parameter 'args' accepts an untyped array with minimal guidance, the description says 'Function arguments as an array. Example: ["0x123...", 100, true]' but provides no specification of how many args, what types each should be, or how to map them to function parameters. This violates the constrained-input pattern and forces the LLM to guess argument positions and types. (3) Error messages are user-friendly but lack actionable recovery guidance per the recovery-guide pattern. (4) No parameter descriptions for the 'args' field explaining format or constraints beyond a generic example. (5) Output schema is documented in comments (read vs write responses) but not formalized in the Tool definition, responses are free-form strings rather than structured JSON. (6) No input validation of argument types, counts, or ranges, validation only happens at contract call time, risking late failures. (7) Tool descriptions are auto-generated and generic, not LLM-optimized, they list function metadata (inputs/outputs) but do not guide when/why to call the tool or what the consequences are.

• Refactor tool generation to expose semantic function names and descriptions: instead of '{contractname}_{functionname}', use action-based names like 'query_{contractname}_{functionname}' for reads and 'execute_{contractname}_{functionname}' for writes. Alternatively, provide a single discovery tool 'list_contract_functions' that returns available functions, and route all calls through 'call_contract_function' with function_name and args parameters.
• Formalize the 'args' parameter schema: include a description of required argument count, expected types per position (e.g., 'First arg is address (0x...), second is uint256'), and constraints. Consider adding a 'function_abi' field that specifies the function signature, or expose the contract ABI as a resource so LLMs can look up parameter types before calling.
• Return structured JSON objects instead of markdown strings. Define explicit output schemas for read and write responses: e.g., {"success": true, "result": {...}, "type": "read_result"} for reads and {"success": true, "transactionHash": "0x...", "blockNumber": 123, "gasUsed": "456", "status": "success"} for writes.
• Implement per-argument type validation before contract calls. Check argument types against the function's ABI inputs (e.g., ensure arg[0] is a valid address, arg[1] is a uint256 within range). Return structured error responses with error codes (INVALID_ARG_TYPE, INVALID_ARG_COUNT) and actionable messages: 'Invalid arg at position 0: expected address (0x...), got "123"'.
• Enhance tool descriptions to include side effects, gas costs (for writes), and when to call: 'Query the balance of an address without state changes. Fast and repeatable. Args: [address]' vs. 'Transfer tokens from sender to recipient (requires wallet). State-changing. Gas required. Args: [from_address, to_address, amount]'.