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update_submodel_value

Update the value of a specific Submodel by providing its ID and a new list of dictionaries, applying changes via the AAS REST API.

Instructions

Updates the value of a specific Submodel.

Corresponds to: PATCH /submodels/{submodel_id}/$value

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hostNoBase URL of the AAS server. Defaults to configured host.http://localhost:8081
valueYesA list[dict] representing the updated Submodel value.
encodeNoWhether to Base64-encode the Submodel ID. Defaults to True.
submodel_idYesThe unique identifier of the Submodel.
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the HTTP method (PATCH) but does not explain whether the update is a full replacement or partial, what happens to missing submodels, authentication requirements, or any side effects. This is significant for a mutation tool.

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 extremely concise—two sentences with no fluff. The first sentence conveys the core purpose, and the second provides the corresponding endpoint, which is useful context. Every word earns its place.

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?

The description covers the core action and endpoint, but it lacks context about when to use the tool, what response to expect (no output schema exists), and how it relates to similar update tools. It is adequate for a simple operation but misses completeness in terms of usage and return behavior.

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%, so all parameters are described in the schema. The description adds no additional parameter meaning beyond the schema, which is acceptable but not enhanced. The baseline of 3 applies.

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 ('Updates the value') and the resource ('a specific Submodel'), and the endpoint reference distinguishes it from sibling tools like update_submodel. It is specific and unambiguous.

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 update_submodel or update_submodel_element_value. The description only states what it does, not the selection criteria or exclusions, leaving the agent to infer usage solely from the tool 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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