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shubham4038

postgres-mcp-js

by shubham4038

analyze_db_health

Perform multi-dimensional database health checks covering indexes, connections, vacuum, sequences, replication, buffers, and constraints.

Instructions

Run comprehensive database health checks across multiple dimensions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
databaseNoDatabase alias to query. Omit to use the primary database.
health_typeNoWhich health check(s) to run. "all" runs everything.all
Behavior2/5

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

No annotations are provided, but the description lacks any disclosure of behavioral traits such as whether queries are read-only, require special permissions, or have performance impact. A health check tool should at least indicate if it is safe to run concurrently.

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 that conveys the core functionality without wasted words. It could benefit from slight expansion, but remains concise.

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

Completeness3/5

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

The tool has two well-documented parameters, but lacks information about the output format or return structure. Given the absence of an output schema, the description should indicate what the agent can expect from the health checks.

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

Parameters3/5

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

Schema coverage is 100% with clear descriptions for both parameters. The description adds 'across multiple dimensions' but does not elaborate beyond the schema-provided enum values and defaults. Baseline 3 is appropriate.

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 name 'analyze_db_health' clearly indicates database health analysis. The description 'Run comprehensive database health checks across multiple dimensions' adds specificity about scope and distinguishes from siblings that focus on individual aspects like locks or bloat.

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?

No explicit guidance on when to use this tool versus siblings. The description implies use for a broad health overview, but does not state when not to use or provide alternatives, leaving the agent to infer from sibling names.

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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