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lrferr

mysql-mcp-server

by lrferr

check_sensitive_tables

Detects sensitive tables in a MySQL database connection to support data security audits.

Instructions

Verifica tabelas sensíveis no banco de dados

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
connectionNameYesNome da conexão

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.2.5

TDQS

C2.9/5.0
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 burden. It does not say whether the check is read-only, what criteria make a table 'sensitive', how it authenticates or what permissions are needed, or whether it has side effects such as writing audit rows.

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?

A single efficient sentence that front-loads the action and object with no filler. It is arguably too terse rather than padded.

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 should compensate by explaining what 'sensitive' means and what the result reports. It omits both, leaving the agent unable to predict the response shape or the detection criteria.

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?

With one parameter and 100% schema description coverage, the schema already documents connectionName. The description adds no meaning beyond that, so the baseline of 3 applies.

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?

States a specific verb ('Verifica') and resource ('tabelas sensíveis no banco de dados'), which is more informative than a tautology. It does not, however, distinguish itself from near-neighbors like detect_suspicious_activity or audit_user_access, nor clarify whether it scans for sensitive tables or validates a known one.

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 guidance on when to run this check, what triggers it, or how it relates to alternatives such as detect_suspicious_activity. The agent must infer usage entirely from the name.

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