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SonarLint MCP Server

SonarLint MCP Server

by nielspeter
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
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list_rules

List all active code quality rules with ID, name, and severity. Use to look up rule meanings, discover detectable issues, or see which rules apply to a language.

Instructions

List all active code quality rules with ID, name, and severity. Use to look up what a rule means (e.g., S3776 = Cognitive Complexity), discover what issues can be detected, or see which rules apply to a language. Covers bugs, code smells, security vulnerabilities, and security hotspots.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_rules"
  }
}

Input Schema

NameRequiredDescriptionDefault
languageNoFilter rules by language (optional)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.5.5

TDQS

A4.2/5.0
Behavior4/5

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

No annotations are provided, so the description carries full burden. It correctly implies read-only behavior and mentions the types of issues covered (bugs, code smells, vulnerabilities, hotspots). It lacks details on pagination or performance, but for a simple list, it is sufficiently transparent.

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

Conciseness5/5

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

The description is three sentences long, front-loaded with the main purpose, and contains no redundant information. Every sentence adds value.

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

Completeness4/5

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

There is no output schema, so the description must compensate. It mentions the return fields (ID, name, severity) and categories, but it does not fully specify the output structure (e.g., whether category is a separate field). It is mostly complete for a list tool but could be slightly more explicit.

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?

The schema has one parameter 'language' with 100% description coverage (enum and description provided). The description does not add new information about the parameter beyond what the schema already states, so baseline 3 is appropriate.

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

Purpose5/5

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

The description clearly states the verb 'List' and the resource 'active code quality rules' with specific attributes (ID, name, severity). It also distinguishes the tool from sibling tools like check_code and fix_issue, which have different purposes.

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

Usage Guidelines4/5

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

The description provides clear use cases (look up rule meaning, discover issues, see language applicability). However, it does not explicitly state when not to use this tool or mention alternatives, though the context of sibling tools implies differentiation.

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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