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modelscope

ModelScope MCP Server

Official
by modelscope

Get Environment Info

get_environment_info
Read-only

Get MCP server environment details: version info for server, FastMCP, MCP protocol, and Python runtime. Use for debugging and compatibility checks.

Instructions

Get current MCP server environment information.

Returns version information for the server, FastMCP framework, MCP protocol, and Python runtime. Useful for debugging and compatibility checking.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
main_domainYesModelScope website domain
python_versionYesPython runtime version
server_versionYesModelScope MCP Server version
fastmcp_versionYesFastMCP framework version
api_inference_domainYesModelScope API inference domain
mcp_protocol_versionYesMCP protocol version
default_text_to_image_modelYesDefault text-to-image model
default_image_to_image_modelYesDefault image-to-image model
Behavior4/5

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

The annotations already declare readOnlyHint=true, so safety is known. The description adds that it returns version information for specific components, which is useful behavioral detail beyond the annotation.

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 the first stating the core purpose and the second elaborating on return values and use case. No superfluous text.

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?

This is a simple tool with no parameters, an output schema, and a readOnly annotation. The description covers purpose, return contents, and usage context; nothing more is needed.

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?

The tool has zero parameters, and the baseline for 0 params is 4. The description does not need to add parameter information, and no gaps exist.

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 uses specific verb 'get' and resource 'MCP server environment information', and lists exact contents (server, FastMCP, protocol, Python runtime), making it clearly distinct from sibling search/get tools.

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 states it is 'useful for debugging and compatibility checking', providing clear usage context. It does not mention when not to use or name alternatives, but the tool's unique purpose makes this less critical.

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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