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List MySQL application databases

mysql_databases_list
Read-onlyIdempotent

Lists MySQL application databases in a specified cluster, with an optional namespace filter, so you can inspect available databases before managing or diagnosing them.

Instructions

List MySQL application databases

Input Schema

NameRequiredDescriptionDefault
clusterYes
namespaceNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.3

TDQS

D1.9/5.0
Behavior2/5

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

Annotations already establish readOnly, idempotent, non-destructive, closed-world behavior, so safety is covered. The description adds nothing beyond that: no indication of whether results are cluster-wide or namespace-scoped, and no pagination, ordering, or volume characteristics.

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?

It is a single short sentence with no wasted words, but that is because it carries no content. This is under-specification rather than conciseness, and nothing is front-loaded beyond the bare action.

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?

With two undocumented parameters, no output schema, and a mutation-free read tool, the description should at minimum state the required cluster scope and what the namespace filter does. It leaves an agent unable to know what it must supply to call the tool correctly.

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% for both parameters. The description never mentions the required 'cluster' argument or the optional 'namespace' filter, so it does not compensate for the schema gap at all.

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 Guidelines2/5

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

There is no when-to-use information, no mention of alternatives (e.g. mysql_database_get for a single database, postgres_databases_list for other engines), and no note about required scoping. The 'list' verb only implicitly suggests enumeration.

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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