jpa_schema_validation

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

There are no annotations to cover safety or side effects, and the description does not disclose whether the operation is read-only, requires specific connections, or what happens on mismatches. The term 'validate' implies a read operation, but this is not explicitly stated, and no behavioral context is added.

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 a single sentence that is front-loaded with the action and subject. It contains no filler or repetition, making it maximally concise for the information it conveys.

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?

The tool has no output schema, no annotations, and the description does not explain the validation result, error handling, or the connection context. It also does not clarify which database or schema is being referenced, leaving significant gaps for an agent trying to invoke it correctly.

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 provides parameter names and constraints, but the description does not explain the relationship between 'schema' and 'database_name' or how they are used in validation. With 0% schema coverage in the description, the agent gets no additional semantic guidance beyond the parameter names themselves.

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 uses a specific verb 'Validate' with a clear resource: 'Spring Data JPA annotations against database schema'. It clearly distinguishes from sibling tools like jpa_mapping or orm_performance by focusing on validation against the schema.

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 provides no guidance on when to use this tool versus alternatives such as jpa_mapping or orm_index_coverage. It does not state any preconditions, exclusions, or recommended scenarios, leaving the agent to infer usage purely from the tool name.

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