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singular-mcp-server

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Reset control nodes to their reset values

singular_reset_nodes
Destructive

Reset targeted nodes or all nodes in a sub-composition back to their stored reset values, clearing on-air content for new segments or stories.

Instructions

Clear/reset content by writing each targeted node back to its resetValue (from the model). Target specific nodeIds, or omit them to reset every node in the sub-composition — handy to blank a template between stories/segments. This changes on-air content if the sub-composition is live.

Args: app/appToken; subCompositionName | subCompositionId; nodeIds (optional — default all nodes in the sub-composition); response_format. Returns { success, subComposition, resetCount, nodeIds }.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
appNoAlias of a registered app instance (see register_app / list_apps). Preferred over a raw token.
nodeIdsNoSpecific node ids to reset. Omit to reset all nodes in the sub-composition.
appTokenNoRaw Singular control-app token for a one-off/unregistered instance. If both 'app' and 'appToken' are given, 'appToken' wins.
response_formatNoOutput format: 'markdown' (human-readable) or 'json' (machine-readable). Default 'markdown'.markdown
subCompositionIdNoTarget sub-composition by id (from get_model). Use one of name/id.
subCompositionNameNoTarget sub-composition by name (as shown in Composer).
Behavior4/5

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

Adds context beyond annotations by specifying 'This changes on-air content if the sub-composition is live.' This explains the destructive nature beyond the destructiveHint annotation.

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 paragraphs. First explains purpose, second lists args and returns. No wasted words, front-loaded with key information.

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?

Covers return format and optional parameters adequately. Missing error conditions or prerequisites like requiring the model to exist, but still sufficiently complete for typical use.

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%, so the description adds minimal extra meaning beyond grouping parameters and confirming defaults. The baseline of 3 is appropriate.

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 ('Clear/reset') and resource ('control nodes to their resetValue'). It distinguishes from siblings like singular_update_content by focusing on resetting to a default value, not arbitrary updates.

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?

Provides a concrete use case ('handy to blank a template between stories/segments') but does not explicitly contrast with alternative tools or state when not to use it.

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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