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irsyadjpp

postgres-mcp-server

by irsyadjpp

sequence_monitor

Monitors PostgreSQL sequences used by JPA @GeneratedValue to detect exhaustion risks before they cause failures.

Instructions

Monitor sequences for JPA @GeneratedValue and detect exhaustion risks

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. It says 'monitor' and 'detect exhaustion risks', which suggests a read-only operation, but it does not state whether it mutates data, requires specific permissions, or what the output format is. The absence of these details is a notable gap for a monitoring tool.

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

Conciseness4/5

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

The description is a single, front-loaded sentence with no wasted words. It communicates the core purpose efficiently, though it lacks any structural breakdown (e.g., parameter details, examples) that would make it more useful. It is concise but at the expense of completeness.

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?

For a monitoring tool with no annotations and no output schema, the description is overly minimal. It does not explain what 'exhaustion risks' means, what results look like, or how the parameters affect the scan. Sibling tools share context, but this tool still lacks essential operational details.

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% and the description does not explain the two parameters (schema, database_name) at all. It fails to clarify what these parameters filter or control, leaving the agent without meaningful guidance despite the parameters being optional. A 0-param baseline of 4 does not apply here; the two undocumented parameters require compensation that is absent.

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

Purpose5/5

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

The description clearly states the tool's purpose: 'Monitor sequences for JPA @GeneratedValue and detect exhaustion risks'. It uses a specific verb (monitor) and resource (sequences for JPA @GeneratedValue), and this is distinct from sibling monitoring tools like wal_monitor or transaction_monitor.

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

Usage Guidelines3/5

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

The description implies the tool is relevant for JPA sequence management, but provides no explicit guidance on when to use it versus alternatives. There is no mention of when not to use it or references to sibling tools, leaving usage context inferred rather than explicit.

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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