An MCP server that provides lead qualification and routing functionality using BANT framework, ICP fit tier assessment, and automatic account executive assignment with calendar booking integration
Critical failures across all dimensions. The tool 'execute_skill_action' has a visible input schema with three parameters (company_size_employees, self_reported_budget_usd, industry_sector), but the MCP server implementation is non-functional. The mcp_server.py file does NOT implement the MCP protocol, it prints a hardcoded JSON startup message and immediately exits. There is no message loop, no tool invocation handling, no request/response parsing. The tool definition exists only in the scoring context and client.py, it is not actually registered or exposed via MCP. The schema is present but the server cannot deliver it. The description ('Execute lead qualification and routing action') is present but generic (43 chars, below best-practice 50-200 char range). Parameters have types and brief descriptions, but lack validation hints, constraints, or examples of how to use them. No error handling is implemented. The tool performs a WRITE operation (assigns sales reps, generates booking URLs, enriches CRM) but the description does not acknowledge this. No audit trail, permission gates, or rollback mechanism visible.
MCP server does not implement the Model Context Protocol. mcp_server.py prints a static JSON message and exits; no message loop, no tool invocation handler, no request/response lifecycle.
Tool definition is not registered in the running MCP server. The schema and name exist in client.py and scoring context, but the server code does not expose them via the MCP protocol.
Description is generic and too short (43 chars). Does not explain WHEN to use the tool, what prerequisites exist, or that this tool performs destructive/irreversible operations (assigning sales reps, generating calendar bookings).
Parameters lack validation constraints and dependencies. 'industry_sector' accepts arbitrary strings (no enum). 'company_size_employees' and 'self_reported_budget_usd' have no min/max bounds, allowing negative or absurd values. 'industry_sector' should enum the valid tiers (FINANCIAL_SERVICES, HEALTHCARE_TECH, etc.).
Recommendations
Rewrite mcp_server.py to implement the full MCP protocol: parse JSON-RPC messages from stdin, dispatch tool calls to a handler, and send responses via stdout. Reference the MCP Python SDK (https://github.com/modelcontextprotocol/python-sdk) for a working example.
Register the tool in the server's initialize response with name, description, and input schema. Implement the tools/call request handler to receive tool invocations, call the ConversationalLeadQualificationRoutingAgentClient, and return results.
Expand the tool description from 43 to 100-150 characters: 'Qualify and route a lead based on company size, budget, and industry. Returns lead tier, assigned account executive, and booking URL. This operation is irreversible, it assigns sales resources and creates calendar blocks.'
Add enum constraint to 'industry_sector': instead of a free-form string, define valid values like ['FINANCIAL_SERVICES', 'HEALTHCARE_TECH', 'SAAS', 'MANUFACTURING', ...]. Update the parameter description: 'Industry sector (enum: FINANCIAL_SERVICES, HEALTHCARE_TECH, SAAS, MANUFACTURING, RETAIL, ...)'.
Add min/max bounds to numeric parameters. Update 'company_size_employees' description: 'Number of employees in the company (1-1000000)'. Update 'self_reported_budget_usd' description: 'Annual budget in USD (0-10000000)'.
Document the output schema in the tool description or as a separate schema block. Example: 'Returns object with: qualification_event_id (string), icp_fit_tier (string: TIER_1_STRATEGIC_ENTERPRISE|TIER_2_MID_MARKET|TIER_3_SMB), bant_qualification_verified (boolean), assigned_account_executive_id (string), instant_calendar_booking_slot_url (string, valid URL), crm_enrichment_payload_url (string, valid URL).'
Output schema is not documented in the server or schema definition. The client.py shows the returned structure (qualification_event_id, icp_fit_tier, bant_qualification_verified, assigned_account_executive_id, instant_calendar_booking_slot_url, crm_enrichment_payload_url), but the MCP tool definition does not specify this. LLMs cannot predict the response structure.
No error handling. Tool description and schema do not document failure modes, recovery steps, or what errors the LLM should expect (e.g., 'No available sales rep', 'Budget validation failed'). No classification of errors as retryable vs. fatal.
Destructive operation without confirmation. Tool assigns sales reps and books calendar slots, irreversible actions, but no dry-run, confirmation, or undo mechanism is offered.
No audit trail or permission gate. Tool modifies business-critical state (lead assignment, calendar booking, CRM enrichment) with no visible access control, logging, or accountability mechanism.
Parameter naming inconsistency. 'self_reported_budget_usd' uses snake_case and includes a unit suffix ('usd'), but 'company_size_employees' does not. Should be 'company_size_employees' and 'budget_usd' for consistency, or add units to both for clarity.
execute_skill_action
Add error handling. Document in the tool description and implement in the server: 'Returns error if no available sales rep (retryable), budget is invalid (user-fixable), or industry is not recognized (user-fixable). When retryable, client should retry after 30 seconds.'
Implement a confirmation step. Split into two tools: 'preview_lead_qualification' (dry-run, returns proposed tier and rep) and 'execute_lead_qualification' (confirms and commits). Or add an optional 'confirm' boolean parameter defaulting to false, requiring a second call with confirm=true.
Add audit logging. Store who (agent ID), what (tool call), when (timestamp), and result (success/failure, assigned rep ID) to a secure audit log. Return the audit event ID in the response so downstream systems can trace the decision.
Add permission gate. Verify the calling agent has 'write:leads' permission before executing. Return 'Unauthorized: agent does not have write:leads permission' if not.
Standardize parameter names: 'company_size_employees' → 'employee_count' (shorter, conventional); 'self_reported_budget_usd' → 'annual_budget_usd' (clearer intent); 'industry_sector' → 'industry' (implied by context, or keep as 'industry_sector' consistently).