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irsyadjpp

postgres-mcp-server

by irsyadjpp

jpa_mapping

Validate database schema against JPA/Hibernate entity mappings to identify mismatches before runtime errors.

Instructions

Validate database schema against JPA/Hibernate entity mappings

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
schemaNo
database_nameNo
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says 'Validate' without explaining whether it is read-only, what happens when differences are found, what the output is, or any side effects. This is insufficient.

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

Conciseness5/5

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

The description is a single sentence with no redundant words. It front-loads the core action and resources, making it concise and structurally clean. However, the brevity contributes to other dimension deficiencies.

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

Completeness2/5

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 a one-line description. It omits essential context such as expected output, parameter necessity (both optional), and how it relates to similar sibling tools. This is inadequate for effective tool selection and use.

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

Parameters1/5

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

Schema description coverage is 0%, so the description must compensate by explaining the 'schema' and 'database_name' parameters. It does not mention them at all, leaving the agent to infer their meaning solely from parameter names and the vague description.

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

Purpose4/5

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

The description clearly states the tool's function with a specific verb 'Validate' and identifies the resources 'database schema' and 'JPA/Hibernate entity mappings'. This is unambiguous, but it does not explicitly differentiate itself from the closely named sibling tool 'jpa_schema_validation', so it falls short of a 5.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus alternatives. The description gives no preconditions, no exclusions, and does not mention any sibling tools. Given the many JPA/ORM-related siblings, this is a significant gap.

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

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