Single tool with minimal definition quality. Output schema is defined in code but not exposed in tool registration metadata. No parameter descriptions exist because there are no parameters. Tool naming is clear (get_profile, verb_noun pattern). Overall definition is sparse and would not meet production standards for agent tool composition.

• Define explicit input schema with proper JSON Schema types and descriptions. Even if get_profile takes no parameters, declare {} with a description explaining why: 'This tool requires no parameters. It returns the authenticated user's aggregated profile.'
• Document output schema in tool registration. Convert profileOutputSchema to a JSON Schema object with field descriptions: name (string, user's display name), location (string, geographic location), joined (ISO 8601 date), etc.
• Expand tool description to 100-150 chars explaining when to use it: 'Fetch the authenticated user's aggregated profile including name, location, join date, and unread counts for messages, notifications, and friend requests. Call this first to understand the user's current state.'
• Add error handling documentation. Specify what happens if the user is not authenticated, if the BFF service is unavailable, or if upstream services fail. Provide recovery guidance for each scenario.
• Consider splitting into granular tools: get_user_profile, get_unread_counts, get_user_activity_dates. This enables agents to call only what they need and compose multi-step workflows without fetching unnecessary data.

Inferred effective spec: 2025-06-18+.

• Relies on Sampling (deprecated) - integrate directly with the LLM provider API