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Select TraeCN Setting Option

traecn_select_setting_option

Choose a valid dropdown option for a setting using section, label, and value to apply and confirm the selection.

Instructions

Select one previously listed option for a dropdown setting identified by section and label, and confirm the applied selection. Only values returned by traecn_list_setting_options are valid.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
labelYesSetting label exactly as returned by traecn_list_settings.
valueYesOption value exactly as returned by traecn_list_setting_options.
sectionYesSection name exactly as returned by traecn_list_setting_sections.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeNoStable machine-readable result or error code.
errorNoError identifier or diagnostic when the operation failed.
labelNoSetting label that was written.
valueNoValue applied to the setting.
resultNoDriver-reported write outcome, including already-in-desired-state.
statusNoStable operation or task status.
taskIdNoStable gateway task identifier.
changedNoWhether visible TraeCN state changed.
messageNoHuman-readable outcome summary.
successNoWhether the operation succeeded.
retryableNoWhether retrying the same call can succeed later.
nextActionNoSuggested next step after a failure.
conversationIdNoStable TraeCN conversation identifier.
Behavior3/5

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

Annotations provide no hints (readOnlyHint=false, idempotentHint=false, destructiveHint=false), so the description carries the burden of behavioral disclosure. It adds the key constraint that only values from traecn_list_setting_options are valid, which is useful. However, it does not disclose what happens on invalid input, whether the change is persistent, or any potential side effects beyond the confirmation. This is a moderate gap 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?

Two sentences with no redundancy. The core action and the critical constraint are both stated efficiently. The description is front-loaded with the verb and resource, and the second sentence adds the validation rule. It earns its place with no wasted words.

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 mutation tool with 3 parameters and an output schema present, the description covers the essential workflow (listing options first) and the validity condition. It relies on the schema for parameter origins, which is acceptable since the schema is rich. It does not detail error behavior or confirmation specifics, but those may be covered by the output schema. Overall, it is sufficiently complete for an agent to use correctly.

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?

Input schema already covers all parameters with descriptions referencing the source lists (traecn_list_settings, traecn_list_setting_options, traecn_list_setting_sections). The description adds little beyond restating that the value must come from the list, which is already in the schema. With 100% schema coverage, the baseline of 3 is appropriate; the description does not introduce new parameter semantics.

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 states a specific verb ('Select'), resource ('dropdown setting'), and scope ('identified by section and label'). It also mentions confirming the selection, which adds clarity. This clearly distinguishes it from sibling tools like traecn_set_setting_toggle and traecn_set_setting_text, which handle different setting types.

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

Usage Guidelines4/5

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

The description implies a workflow: options must be 'previously listed' and only values from traecn_list_setting_options are valid. This clearly tells the agent to call the listing tool first. It does not explicitly name alternative tools or state when not to use this tool, but the 'dropdown setting' qualifier and the sibling context make the intended use clear enough.

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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