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get_context_tabs

Retrieve context tabs marked for AI inclusion in VS Code, including file content and optional line ranges, to provide focused project context.

Instructions

Retrieves information about tabs that have been specifically marked for inclusion in AI context using the UI toggle in VS Code.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetProjectPathYesPath to the project folder we are working in
includeContentNoWhether to include the file content of each tab (may be large)
selectionsNoOptional array of file paths with specific line ranges to include
Behavior2/5

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

No annotations are provided, so the description must carry the full burden. It explains the purpose but lacks details such as whether file content is returned, the potential size impact of includeContent, 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.

Conciseness5/5

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

The description is a single sentence that front-loads the purpose with no unnecessary words, making it very concise.

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?

Given no output schema and moderate complexity (3 params, one required), the description fails to explain the return format or behavior, such as whether it returns metadata or file content, leaving the agent to infer.

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%, so the schema already documents all three parameters. The description adds some context about AI-focused tabs but no additional meaning beyond what the schema provides.

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 'Retrieves' and the resource 'information about tabs marked for AI context', distinguishing it from sibling tool 'get_active_tabs' which likely retrieves all tabs.

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 use for context-marked tabs, but does not explicitly state when to use this tool over alternatives like get_active_tabs or provide any exclusions.

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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