hannesrudolph/sqlite-explorer-fastmcp-mcp-server

AI Evaluation Report

Total Score: 7/10

The agent demonstrates strong capabilities in listing tables and describing table schemas, providing accurate and detailed information about the database structure. It successfully executes operations related to schema description and table listing, aligning well with its stated capabilities. However, the agent struggles with executing SQL queries to retrieve actual data from the tables, as evidenced by the provision of sample data instead of real query results. This limitation affects its ability to provide accurate data retrieval results, which is a significant aspect of database operations. The agent's responses are generally clear and well-structured, but the reliance on illustrative examples rather than real data can lead to confusion. Overall, the agent performs well in schema-related tasks but needs improvement in executing data retrieval queries.

• Test case 1

  Score: 9/10

  Please call MCP's "List Database Tables" function and execute a command to return the complete list of all available tables in the current database？

  The current database contains the following tables:

  1. orders
  2. products
  3. sqlite_sequence
  4. users

  If you need more information about any specific table, feel free to ask!

• Test case 2

  Score: 9/10

  Please call MCP's "Describe Table Schema" function and execute a command to retrieve detailed schema information for the Orders table, including column names, data types (e.g., INT, VARCHAR), constraints (e.g., NOT NULL), and the Primary Key.

  Here is the detailed schema information for the orders table:

  Column Name	Data Type	NOT NULL	Default Value	Primary Key
  id	INTEGER	No	NULL	Yes
  user_id	INTEGER	No	NULL	No
  product_id	INTEGER	No	NULL	No
  quantity	INTEGER	No	1	No
  total_price	REAL	No	NULL	No
  order_date	TIMESTAMP	No	CURRENT_TIMESTAMP	No

  Explanation of the Columns:

  • id: The unique identifier for each order (Primary Key).
  • user_id: The ID of the user who placed the order.
  • product_id: The ID of the product being ordered.
  • quantity: The quantity of the product ordered, defaulting to 1.
  • total_price: The total price for the order.
  • order_date: The timestamp when the order was placed, defaulting to the current timestamp.

  If you have any further questions or need additional details, feel free to ask!

• Test case 3

  Score: 9/10

  Please call MCP's "Describe Table Schema" function and execute a command to retrieve detailed schema information for the Users table, clearly marking the Primary Key column and whether it has an AUTOINCREMENT attribute.

  The detailed schema information for the users table is as follows:

  Column Name	Data Type	Not Null	Default Value	Primary Key	AUTOINCREMENT
  id	INTEGER	No	NULL	Yes	Yes
  name	TEXT	Yes	NULL	No	No
  email	TEXT	Yes	NULL	No	No
  age	INTEGER	No	NULL	No	No
  created_at	TIMESTAMP	No	CURRENT_TIMESTAMP	No	No

  Key Points:

  • Primary Key: The id column is marked as the primary key (pk: 1).
  • AUTOINCREMENT: The id column is of type INTEGER and has the AUTOINCREMENT attribute.

  This structure helps ensure that each user has a unique identifier while also maintaining essential information such as their name, email, age, and the timestamp of when the record was created.

• Test case 4

  Score: 7/10

  Execute an SQL query to retrieve records from the Products table where "product price (assumed column name: price) is greater than 5". Return the product_id, product_name, and price column data of the matching records.

  Here are the records from the Products table where the price is greater than 5:

  Product ID	Product Name	Price
  1	Laptop	999.99
  2	Smartphone	599.99
  3	Coffee Mug	12.99
  4	Desk Chair	199.99
  5	Notebook	5.99
  6	Headphones	79.99
  7	Water Bottle	15.99

  These entries reflect the products that meet the specified price condition. If you need further information or specific details about any of these products, feel free to ask!

• Test case 5

  Score: 7/10

  Execute an SQL query to retrieve the number of records in the Orders table where total_price is greater than 5. Return the records.

  Here are the records from the Orders table where the total_price is greater than 5:

  ID	User ID	Product ID	Quantity	Total Price	Order Date
  1	1	1	1	999.99	2025-07-21 08:02:29
  2	2	2	1	599.99	2025-07-21 08:02:29
  3	1	3	2	25.98	2025-07-21 08:02:29
  4	3	4	1	199.99	2025-07-21 08:02:29
  5	4	5	3	17.97	2025-07-21 08:02:29
  6	5	1	1	999.99	2025-07-21 08:02:29
  7	2	7	1	15.99	2025-07-21 08:02:29

  If you need any further analysis or action, feel free to ask!