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lrferr

mysql-mcp-server

by lrferr

monitor_schema_changes

Track schema changes across selected MySQL databases on a connection to detect structural drift and alert you when tables, columns, or indexes are altered.

Instructions

Monitora mudanças no esquema do banco de dados

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
databasesNoLista de bancos para monitorar
connectionNameYesNome da conexão

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.2.5

TDQS

C2.3/5.0
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 behavioral burden. 'Monitor' weakly implies an observational, non-destructive read, but the description says nothing about whether this is a one-shot check or continuous polling, what permissions are required, what it returns, or any side effects.

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

Conciseness3/5

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

A single front-loaded sentence with no wasted words, but it is terse to the point of under-specification. Brevity here reflects missing content rather than disciplined editing.

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 no annotations and no output schema, the description had to explain the monitoring behavior, expected results, and usage context on its own, and it does none of that. For a tool whose core semantics (what a 'schema change' event is, how it is surfaced) are non-obvious, this is inadequate.

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 description coverage is 100%, with both 'connectionName' and 'databases' documented directly in the schema. The description adds no further parameter meaning, so the baseline of 3 applies since the schema does the heavy lifting.

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?

The description is essentially a Portuguese restatement of the tool name: 'monitor_schema_changes' → 'Monitora mudanças no esquema do banco de dados'. It identifies the verb (monitor) and resource (database schema changes) but adds no distinguishing detail, such as what is monitored or how it differs from siblings like list_schemas or get_table_structure.

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 guidance, no preconditions, and no mention of alternatives among the many schema-related siblings (create_schema, drop_schema, list_schemas). An agent gets no signal about when this tool is appropriate versus a one-time schema listing.

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