Server has 5 tools with basic schemas and descriptions, but significant gaps in parameter documentation and output schema clarity. Tool naming follows verb_noun convention (telephony.call, telephony.status, telephony.cancel, telephony.transcript, get_weather_from_coords). Descriptions exist but are minimal (10-50 chars). Input schemas are present with type definitions, but parameter descriptions are sparse or missing. No documented output schemas. Error handling and recovery guidance absent. The weather tool appears disconnected from the telephony domain, suggesting composition issues.

• Expand tool descriptions to 50-200 chars. Example: 'telephony.call' → 'Place an outbound phone call using OpenAI Realtime API and Twilio. Requires valid E.164 phone numbers (e.g., +1-555-0123). Call runs up to timeoutSec seconds. Returns callId for status checks. Fails if number is invalid or Twilio account lacks credits.'
• Document output schemas for all tools. Specify what fields are returned (e.g., telephony.call returns {callId: string, status: string, duration: number, transcript?: string}). This enables LLMs to chain tools and extract required data.
• Add parameter descriptions for 'context' in telephony.call. Clarify: 'Object with optional keys: customer_name (string), account_id (string), previous_notes (string). Used to enrich AI agent context during the call.'
• Add error handling guidance to descriptions. Example: 'If call fails with invalid_number, suggest user verify E.164 format. If timeout occurs, offer telephony.status to check final state.'
• Separate weather tool into a distinct MCP server or document why it coexists with telephony tools. If intentional, rename to clarify domain (e.g., 'utilities.get_weather_from_coords').