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hoyt-harness

DaVinci MCP Professional

by hoyt-harness
OverviewSchemaRelated ServersScoreDiscussions
Python

create_timeline

Allows AI assistants to create a new timeline in DaVinci Resolve by specifying its name.

Instructions

Create a new timeline with the given name

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesThe name for the new timeline

Implementation Reference

  • src/davinci_mcp/tools/__init__.py:98-111 (schema)
    Schema definition for the 'create_timeline' tool, including its input schema requiring a 'name' parameter of type string.
    types.Tool(
    name="create_timeline",
    description="Create a new timeline with the given name",
    inputSchema={
        "type": "object",
        "properties": {
            "name": {
                "type": "string",
                "description": "The name for the new timeline",
            }
        },
        "required": ["name"],
    },
),

Tool Definition Quality

C2.9/5.0
Behavior1/5

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

No annotations are provided, so the description must disclose behavior. It only says 'create' without mentioning side effects, permissions, uniqueness constraints, or return values. This is insufficient 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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence with no wasted words. However, it may be too brief for complete understanding.

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

Completeness2/5

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

For a create tool with no output schema or annotations, the description should explain what happens on success, error cases (e.g., duplicate name), and any state changes. It lacks this context.

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% with a clear description for the 'name' parameter. The tool description adds no extra semantics beyond what the schema provides.

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 specifies the action ('Create') and the resource ('timeline'), including the parameter 'name'. It distinguishes itself from sibling tools like list_timelines and switch_timeline by focusing on creation.

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 on when to use this tool versus alternatives like create_project or when not to use it (e.g., if timeline already exists). The implied usage is unclear.

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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