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megalinter_get_linters

Discover available linters filtered by programming language, security category, or auto-fix capability.

Instructions

Discover available linters by language, security category, or auto-fix capability.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
languageNoFilter by programming language (e.g., python, javascript, terraform).
securityOnlyNoReturn only security-focused linters.
autoFixOnlyNoReturn only linters that support automatic fixes.
Behavior3/5

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

No annotations are provided, so the description must carry the behavioral burden. It implies a read-only operation by saying 'Discover' but does not explicitly state that no changes are made. The behavior is straightforward (filtering and listing), but the description lacks explicit safety or side-effect disclosure.

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 a single, front-loaded sentence that conveys the purpose and filtering capabilities with no wasted words. It is concise and easy to parse.

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

Completeness3/5

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

Given there is no output schema, the description should hint at the return format (e.g., a list of linter names or details). It only says 'Discover available linters' without describing the output structure. For a simple filtering tool, this is adequate but not fully complete.

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 coverage is 100% (each parameter has a description). The description adds a brief mapping ('by language, security category, or auto-fix capability') but does not provide additional meaning beyond what the schema already offers. Baseline of 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 tool discovers available linters and lists three filtering criteria that directly correspond to the input schema parameters. It distinguishes itself from sibling tools like megalinter_run or megalinter_get_issue_summary by focusing on linter discovery.

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

Usage Guidelines3/5

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

The description implies usage for discovering linters before running, but it does not explicitly state when to use this tool versus alternatives like megalinter_get_security_info or when not to use it. No exclusions or context on prerequisites are given.

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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