MythrilMCP has three tools with complete input schemas and descriptions, but significant quality gaps limit production readiness. All tools accept parameters with types and defaults, but descriptions lack LLM-optimization guidance (too generic, missing WHEN/WHY context). Output is unstructured plain text rather than structured JSON. No error recovery guidance, no parameter constraints (enums for output_format, network), and no documentation of what fields agents should extract from responses. Tool names are verb-noun compliant (analyze_*), but descriptions don't explain when to choose between the three similar tools or what distinguishes them.

• Add enum constraints to output_format and network parameters. Replace free-form strings with explicit allowed values: output_format: enum[text, markdown, json, jsonv2], network: enum[mainnet, rinkeby, kovan, ropsten, ganache].
• Restructure tool output from plain text to JSON. Parse Mythril's output and return {vulnerabilities: [{id, type, severity, line, description, remediation}], summary: {total_issues, critical_count, high_count}, execution_time_ms}.
• Enhance tool descriptions with WHEN/WHY context. E.g., 'Use analyze_solidity_file for local .sol files (fastest). Use analyze_contract_address for on-chain bytecode (requires Infura). Use analyze_with_options for fine-grained control (timeouts, recursion depth).'
• Add error recovery guidance. Catch subprocess errors and return structured error with category (retryable|user_fixable|fatal) and suggestion. E.g., 'File not found: /path/to/contract.sol. Check file path and try again.' or 'Mythril CLI not installed. Install via: pip install mythril'.
• Document parameter dependencies. Note that infura_id is required when network != 'ganache' and is_address=true. Add validation: if is_address and network != ganache and not infura_id, return error with guidance.