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ModelScope MCP Server

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Search Studios (创空间 AI 应用)

search_studios

Search ModelScope for studios by keyword, domain, and sort order. Use filters to find specific AI studios for your needs.

Instructions

Search for studios on ModelScope.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNoSort orderDefault
limitNoMaximum number of studios to return
queryNoKeyword to search for related studios. Leave empty to get all studios based on other filters.
domainsNoDomain categories to filter by

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations beyond a title are provided, so the description carries full burden for behavioral disclosure. It only says 'Search' without explicitly confirming read-only behavior, return format, or potential side effects. This is a minimal indication of behavior, leaving the agent to assume safety.

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, front-loaded sentence of six words. It contains no fluff or redundant phrasing, making it highly concise and easy to parse.

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?

Despite having a well-documented schema and an output schema, the description is extremely thin. It does not explain what a 'studio' is in this context, when to use this tool, or any nuances about search behavior. For an agent unfamiliar with ModelScope studios, this falls short of providing sufficient operational context.

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%, with each parameter having a clear description (e.g., 'Keyword to search for related studios'). The tool description adds no parameter-specific detail, but the baseline of 3 is appropriate because the schema already documents all parameters effectively.

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 'Search for studios on ModelScope' clearly states the action (search) and resource (studios) with platform context (ModelScope). It distinguishes from sibling tools like search_models and search_datasets by specifying the resource type.

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 does not mention any exclusions, prerequisites, or scenarios where search_models or search_datasets would be more appropriate. Usage is only implied by the tool's name.

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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