anylogic_validate_ple

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

With no annotations provided, the description carries full burden for behavioral disclosure. It indicates the tool returns detailed information and is a check (likely read-only), but does not explicitly state side effects, authorization needs, or whether it modifies anything. This is a minimal disclosure.

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

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

One sentence covering what the tool does and what it returns. No wasted words. Front-loaded with purpose. Highly efficient.

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

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

For a simple tool with one parameter and no output schema, the description covers basic purpose and return type. However, it lacks specificity about the checks (e.g., which limits) and whether the operation is safe. Adequate but could be more informative.

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

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

Schema coverage is 100% (single parameter with description 'ID of the model to validate'). The tool description adds no further semantic information beyond the schema, so baseline score of 3 applies. It does not clarify format or provenance of the model ID.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: checking compliance with AnyLogic PLE limits. It uses a specific verb ('Check if... complies') and identifies the resource ('model definition'). It distinguishes itself from siblings like get_ple_limits (which just returns limits) and create_model_ple (which creates models).

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

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

The description implies the tool is used for validation but does not explicitly state when to use it versus alternatives like get_ple_limits or after creation. No exclusions or when-not-to-use guidance is provided, leaving the agent to infer context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.