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luquimbo

DaVinci Resolve MCP Server

by luquimbo

project_close

Close the active DaVinci Resolve project with automatic saving to prevent data loss.

Instructions

Close the current project (saves automatically before closing).

Returns: True if the project was closed successfully.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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 discloses the key behavioral traits: the operation saves automatically before closing, and it returns True only on successful closure. This addresses potential concerns about data loss and success indication, which is strong for a simple close operation. It could have mentioned failure behavior, but the return value handles that.

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: one sentence for the action and one for the return value. Every word earns its place, and the format is clean and front-loaded.

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

Completeness5/5

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

For a tool with no parameters, an output schema indicating boolean return, and a simple close operation, the description fully explains what happens (closes and saves) and what the return value means. There is no missing information that an agent would need to select or invoke this tool correctly.

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?

The tool has zero parameters, so the schema is empty. Per the baseline for 0 params, the description need not add parameter semantics. It is complete and accurate in stating no inputs are required.

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 precisely states the action: 'Close the current project' with the specific verb 'close' and resource 'current project'. It also adds a key behavioral detail ('saves automatically before closing') that distinguishes it from related tools like project_save or project_delete, making the purpose unmistakable.

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 implies when to use the tool (when you want to close the current project), but it does not explicitly mention alternatives or exclusions. Sibling tools like project_save and project_delete exist, but the description does not state 'use project_save to save without closing' or similar guidance. Usage context is implied rather than explicit.

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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