superset_database_validate_parameters

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of disclosing behavioral traits. It does state that no connection is created, which is a key side effect, but it omits details on what validation entails, whether any network calls are made, how errors are returned, or whether credentials are actually checked. This leaves significant behavioral ambiguity.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and structured with a one-sentence summary followed by an Args block. Each line provides essential detail for the three parameters, with no filler or redundancy. The formatting is clear and scannable, though slightly longer than minimal due to the example dictionary.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity and the presence of an output schema, the description sufficiently covers the input parameters and the primary behavior. The main missing piece is a more explicit explanation of validation semantics and limitations, but for a parameter-validation tool, the essential context is present.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has no property descriptions (0% coverage), but the description thoroughly explains each parameter: engine provides examples ('postgresql', 'mysql', etc.), parameters includes a sample dictionary structure, and configuration_method lists its default and accepted values. This fully compensates for the schema's lack of detail.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description's first sentence 'Validate database connection parameters without creating a connection' clearly states the action (validate), the object (database connection parameters), and the key qualifier that distinguishes it from siblings like superset_database_test_connection. This makes the tool's purpose explicit and unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not explicitly state when to use this tool over alternatives such as superset_database_test_connection. The qualifier 'without creating a connection' implies its niche, but there is no direct guidance on choosing this tool vs. testing a connection, leading to only implicit usage context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.