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get_active_rules

Retrieve relevant Cursor context rules for specified files and task description to apply activation logic consistently across AI assistants.

Instructions

Returns rules that apply to a given set of files and/or task description. Call at session start or when switching file context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filesNoFile paths relative to workspace root
task_descriptionNoDescription of the current task for agent-requested rule matching
Behavior2/5

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

No annotations are provided, and the description does not disclose any behavioral traits beyond the fact that it returns data. There is no mention of whether the tool has side effects, is read-only, or requires specific permissions, which is a notable gap for a query tool.

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 extremely concise with two sentences. The first sentence states the purpose, and the second gives usage timing. No redundant or wasted words.

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?

The tool has no output schema, and the description does not explain what the returned 'rules' contain (e.g., structure, fields). For a retrieval tool, some hints about the output format would be helpful, but the description is adequate for basic usage.

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 input schema already describes both parameters (files and task_description) with 100% coverage. The description adds no additional semantic meaning or usage details beyond what the schema provides, meeting the baseline but not adding extra value.

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 that the tool returns rules for a given set of files or task description. This specific verb-resource combination distinguishes it from siblings like get_rule, which likely fetches a single rule.

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 explicitly advises calling 'at session start or when switching file context,' providing clear guidance on when to use the tool. It lacks explicit when-not scenarios or alternatives, but the context is sufficient.

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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