Skip to main content
Glama
apvlv

DaVinci Resolve MCP Server

by apvlv

save_project

Save the current DaVinci Resolve project to preserve editing work and prevent data loss.

Instructions

Save the current DaVinci Resolve project.

Returns: A message indicating success or failure

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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 the tool saves a project and returns a success/failure message, but lacks details on behavioral traits like whether it overwrites existing files, requires specific permissions, or has side effects. For a mutation tool with zero annotation coverage, this is inadequate.

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 and front-loaded, with two brief sentences that directly state the action and return value. There is zero wasted text, making it efficient and easy to parse.

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?

Given the tool has 0 parameters, 100% schema coverage, and an output schema (implied by 'Returns'), the description covers the basics. However, as a mutation tool with no annotations, it should provide more behavioral context (e.g., what 'Save' entails operationally) to be fully complete.

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 input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description appropriately doesn't discuss parameters, focusing instead on the action and return value, which aligns with the schema's completeness.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Save') and resource ('current DaVinci Resolve project'), making the purpose immediately understandable. It doesn't explicitly differentiate from siblings like 'create_project' or 'load_project', but the verb 'Save' implies persistence of an existing project rather than creation or loading.

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?

The description provides no guidance on when to use this tool versus alternatives like 'create_project' or 'load_project'. It doesn't mention prerequisites (e.g., whether a project must be open) or exclusions, leaving usage context unclear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/apvlv/davinci-resolve-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server