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param_set

Set a model parameter value with units to define simulation inputs. Optionally add a description.

Instructions

Set the value of a model parameter.

Args: name: Parameter name value: Parameter value (can include units, e.g., "5[V]", "1.5[mm]") model_name: Model name (default: current model) description: Optional description for the parameter

Returns: Confirmation with new value, or error message

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
valueYes
model_nameNo
descriptionNo
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 mentions return value (confirmation or error) and the ability to include units in the value. However, it does not specify whether the parameter is created if it doesn't exist, or any side effects.

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 highly concise, using a single introductory sentence followed by structured parameter and returns sections. Every sentence adds value, with no redundancy.

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

Completeness3/5

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

For a simple set operation with 4 parameters and no output schema, the description covers the basics but lacks details on error handling, behavior for non-existent parameters, and any prerequisites. It is adequate but not exhaustive.

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?

With 0% schema description coverage, the description adds significant meaning: it explains each parameter's purpose, including the units format for value and the default for model_name. This compensates for the sparse 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 verb 'Set' and the resource 'model parameter', making the tool's function unambiguous. It distinguishes from sibling tools like param_get or param_list by its action.

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 does not provide explicit guidance on when to use this tool versus alternatives. While the context implies it's for setting parameters, it lacks any 'when to use' or 'when not to use' direction.

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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