Three tools with basic descriptions and varying schema completeness. Tool naming is verb-driven (scan, get_solicitations, get_stats), which is good. However, descriptions are terse (30-90 chars), parameter descriptions exist but lack detail on constraints/formats, and error handling is minimal. The `get_solicitations` tool has a reasonable schema with type info, but `scan` and `get_stats` have empty input schemas. Output schemas are not explicitly documented, responses are JSON strings, but the shape of that JSON is not formally defined. The rubric baseline for A+ tools is descriptions of 50-200 chars and 100% of params with descriptions; this server falls short.

• Add explicit enums or allowed values for 'status' parameter in get_solicitations. Instead of free-form strings, declare valid_status: ['Open', 'Under Evaluation', ...] in the schema and description.
• Expand tool descriptions to 50 - 200 chars, explaining WHAT the tool does, WHEN to use it, and what it returns. E.g. 'scan': 'Fetch and index all open software development solicitations from the NC eVP website, updating the local database. Call this first if the database is empty or to refresh with the latest opportunities.'
• Document output schemas for each tool. Define the JSON structure returned: e.g., get_solicitations returns {"solicitations": [{"id": int, "title": string, ...}], "total": int, "limit": int}.
• Add constraints to numeric parameters. E.g. 'limit': {"type": "integer", "minimum": 1, "maximum": 100, "default": 10, "description": "Maximum number of records to return (1 - 100, default 10)".
• Implement error classification. When database is not found, return a structured error like {"error": "database_not_found", "message": "Database not found. Run the scan tool to initialize.", "recovery": "retryable"}. This guides LLM recovery behavior.
• In the scan tool description, explicitly state it is a WRITE operation that mutates the database. Consider adding an idempotent hint (scan is safe to retry; it uses INSERT OR REPLACE to avoid duplicates).
• Add a parameter 'force_refresh' (boolean, default false) to scan to allow LLMs to request a fresh crawl vs. incremental update, and document the distinction.