Gloria AI demonstrates solid tool definition quality with consistent naming patterns, good descriptions, and well-structured schemas. All 7 tools follow clear verb-noun naming conventions (get_*, search_*). Tool descriptions are informative and contextual, averaging ~180 characters. Input schemas are present and typed. However, there are notable gaps: (1) Two premium tools (get_enriched_news, get_ticker_summary) have empty input schemas with no parameters documented, forcing the description text to carry all semantic weight. (2) Output schemas are documented only in natural language within descriptions, not as formal JSON Schema structures. (3) Error handling is minimal, no recovery guidance for API failures or invalid category codes. (4) The server lacks tool annotations (readOnlyHint, idempotentHint) despite all tools being read-only, READ_ONLY risk annotations are in metadata but not exposed in schema. (5) Parameter validation rules are described but not enforced in schema constraints (e.g., category enum, limit ranges are mentioned but not formal JSON Schema constraints).

• Formalize output schemas. Define the return type for each tool as a JSON Schema with field names, types (string, number, object, array), and whether fields are required. Example: get_latest_news should declare that it returns an array of objects, each with fields {id: string, headline: string, sentiment: string, categories: string[], sources: string[]}.
• Add formal parameter constraints to the JSON Schema. For get_latest_news, change limit from a plain integer to {type: 'integer', minimum: 1, maximum: 10, default: 5}. For category, add enum: [list of valid categories] or reference get_categories output.
• Parameterize the premium tools. Instead of empty inputs, define explicit parameters for get_enriched_news (ticker, timeframe?) and get_ticker_summary (ticker, format?) so LLMs understand what information is needed before invoking the tool.
• Add tool annotations to schema. Declare readOnlyHint: true and idempotentHint: true on all tool definitions to signal to agents that these calls are safe to retry and have no side effects.
• Document error cases and recovery paths. For each tool, specify: (1) What errors can occur (API unreachable, invalid category, item not found), (2) What the error response looks like, (3) What the agent should do (retry with backoff, call get_categories to validate, inform user). Example: 'If category is invalid, the response will be {error: "Category not found"}. Call get_categories() to see available options.'
• Add pagination guidance. If news lists can grow large, define limit/offset or cursor-based pagination explicitly. Document max result size and recommend calling with reasonable limits to avoid context bloat.