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anylogic_upload_to_cloud

Upload PLE-compliant models to AnyLogic Cloud for remote simulations. Enable source download or public access as needed.

Instructions

Upload a PLE-compliant model to AnyLogic Cloud. Requires ANYLOGIC_API_KEY to be set. The model will be available for running simulations in the cloud, and source files can be downloaded for use in local AnyLogic PLE.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
model_idYesID of the model to upload
enable_source_downloadNoAllow downloading model source files (.alp)
make_publicNoMake model publicly accessible
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses the outcome (model available for simulations and source download) and the API key requirement, but lacks details on side effects like overwriting, error handling, or idempotency.

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 concise sentences with no fluff. The key information is front-loaded, and every sentence serves a purpose.

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

Completeness4/5

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

For a simple tool with 3 parameters and no output schema, the description covers the main function, prerequisite, and outcome. However, it could mention potential errors or if the operation is idempotent. Overall fairly complete.

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 coverage is 100% with clear parameter descriptions. The description adds marginal value by stating that source files can be downloaded, which relates to enable_source_download, but does not significantly enhance understanding beyond the schema.

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 action (upload), resource (PLE-compliant model), and target (AnyLogic Cloud). It distinctly differentiates from sibling tools like create_model_ple and download_for_ple by specifying cloud upload.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description mentions the requirement for ANYLOGIC_API_KEY, giving a prerequisite, but does not provide explicit guidance on when to use this tool versus alternatives or when not to use it. Usage is implied but not fully articulated.

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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