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3a3

Fujitsu Social Digital Twin MCP Server

by 3a3

create_simulation_from_usecase

Create and run a simulation from a specified use case and uploaded files, with adjustable parameters, to analyze human and social behavior in a digital twin.

Instructions

指定されたユースケースとアップロードされたファイルからシミュレーションを作成・実行します。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
usecaseYes
uploaded_filesYes
simulation_paramsYes
ctxNo
Behavior2/5

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

With no annotations, the description carries the full burden. It states the tool 'creates and executes,' implying a mutating action, but fails to disclose any side effects, authorization needs, or performance characteristics. The behavioral impact beyond the obvious is opaque.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

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

The description is a single, front-loaded sentence that directly states the tool's function. It is concise with no extraneous words. However, the brevity sacrifices necessary detail.

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

Completeness1/5

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

Given the tool's complexity (4 parameters, nested objects, no output schema, no annotations), the description is severely insufficient. It does not explain return values, parameter relationships, or how to handle the uploaded_files object, leaving major gaps for correct invocation.

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

Parameters1/5

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

The description only generically mentions 'usecase' and 'uploaded_files' without explaining their format, constraints, or relationship. The simulation_params parameter is entirely omitted, and the schema provides no descriptions (0% coverage), leaving the agent guessing about parameter usage.

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 creates and executes a simulation from a specified use case and uploaded files. It distinguishes itself from siblings like start_simulation by specifying the input source. However, it does not mention the simulation_params parameter, which is a key input, slightly reducing clarity.

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?

No guidance is provided on when to use this tool versus alternatives like create_natural_language_simulation_config or start_simulation. There are no prerequisites, exclusions, or context hints 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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