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Read an application database user

database_user_get
Read-onlyIdempotent

Retrieve an application database user by cluster, database, and username, with an optional namespace to scope the lookup.

Instructions

Read an application database user

Input Schema

NameRequiredDescriptionDefault
clusterYes
databaseYes
usernameYes
namespaceNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.3

TDQS

D1.6/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is fully covered structurally. The description contributes nothing beyond that: it doesn't say whether credentials or secrets are returned, what happens for a nonexistent user, or how the namespace scoping affects visibility.

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

Conciseness2/5

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

The single sentence is short but it is under-specification rather than conciseness: it duplicates the title without conveying any information an agent does not already have. There is no front-loaded scope statement or qualifying detail.

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

Completeness1/5

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

For a tool with four undocumented parameters, no output schema, and no parameter descriptions, the description leaves nearly everything unresolved. At minimum it should identify which database engine this 'application user' belongs to and whether sensitive material is returned.

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% across four parameters, and three are required, so the description carries the full burden of explaining cluster, database, and username. It supplies no meaning for any of them, nor for the optional namespace, whose constraints live only in a $ref'd definition an agent may not resolve at selection time.

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

Purpose2/5

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

Tautological: description restates name/title.

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

Usage Guidelines1/5

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

There is no when-to-use guidance, no prerequisite conditions, and no mention of alternatives. An agent must infer from the name and sibling list that this fetches a single user rather than a list, and nothing indicates scope (application vs. mysql/postgres/rabbitmq users).

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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