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detect_vscode_workspaces

Detect open VS Code instances and their workspaces to help AI agents interact with your development environment through the Code MCP Server.

Instructions

Automatically detect open VS Code instances and their workspaces

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
includeRecentNoInclude recent workspaces from VS Code history
includeRunningNoInclude currently running VS Code instances
maxResultsNoMaximum number of workspaces to return
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 of behavioral disclosure. It states the tool 'automatically detect[s]' but doesn't explain how detection works (e.g., scanning processes, reading config files), what permissions are needed, potential side effects, or the format of returned data. This is inadequate for a tool with no annotation coverage.

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, efficient sentence that directly states the tool's purpose without unnecessary words. It's front-loaded and wastes no space, making it easy for an agent to parse quickly.

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 annotations and no output schema, the description is incomplete. It doesn't explain what the tool returns (e.g., list of workspace paths, process IDs), error conditions, or behavioral details like detection methods. For a tool with three parameters and no structured output, more context is needed.

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 description coverage is 100%, so the input schema fully documents all three parameters. The description adds no additional parameter information beyond what's in the schema, such as default values or interactions between parameters. This meets the baseline for high schema coverage.

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?

The description clearly states the tool's purpose: 'Automatically detect open VS Code instances and their workspaces'. It specifies the verb ('detect') and resource ('VS Code instances and their workspaces'), making the action clear. However, it doesn't explicitly differentiate from sibling tools like 'list_workspaces' or 'get_workspace', which might offer similar functionality.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention any prerequisites, exclusions, or compare it to sibling tools such as 'list_workspaces' or 'auto_select_workspace', leaving the agent without context for selection.

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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