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get_client_info_json

Identify the MCP client and its default dataset to enable agent-scoped memory separation.

Instructions

Return the current MCP client identity and its agent-scoped default dataset. The workspace UI uses this to automatically separate memory per agent (e.g. Cursor writes to 'cursor_memory', Claude Code to 'claude_code_memory'). The default dataset is created on demand. Returns {client: {name, version}, default_dataset} in structuredContent.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description carries the full burden. It discloses that the default dataset is created on demand and specifies the return format. No side effects beyond creation are mentioned, which is adequate.

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?

Two sentences with zero waste. The purpose is front-loaded, and every sentence adds value (returns structure, use case, behavior).

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

Completeness5/5

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

With no parameters and no output schema, the description fully covers the tool's purpose, behavior, and return structure. It explains the use case and creation-on-demand behavior, making it complete for agent selection.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There are zero parameters, so schema coverage is 100%. The description does not need to add parameter info. Baseline score of 4 applies.

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 returns the current MCP client identity and agent-scoped default dataset, with specific verb and resource. It distinguishes itself from sibling tools by explaining its unique purpose.

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 explains the typical use case (workspace UI separating memory per agent) but does not explicitly mention when not to use or provide direct alternatives. The context is clear enough for most agents.

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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