save_project
Save the active Adobe Premiere Pro project to preserve your edits and prevent data loss.
Instructions
Saves the currently active Adobe Premiere Pro project.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Save the active Adobe Premiere Pro project to preserve your edits and prevent data loss.
Saves the currently active Adobe Premiere Pro project.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the full burden of behavioral disclosure. It simply says 'saves' without mentioning that it overwrites the existing file, how it behaves for unsaved projects, or whether it returns a status. This is minimal and lacks important behavioral context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, well-structured sentence that immediately states the action and target. It is concise and contains no unnecessary words, earning a top score.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool, the description is adequate but not complete. It does not mention potential side effects (e.g., overwriting), behavior for untitled projects, or return values. Given the lack of annotations and output schema, more detail would be helpful for full contextual completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, and the description aligns with the empty schema. Since there are no parameters to explain, the baseline of 4 applies; the description does not need to add parameter detail.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose with a specific verb ('saves') and resource ('currently active Adobe Premiere Pro project'). It distinguishes itself from the sibling save_project_as by specifying the target as the active project.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus save_project_as or other save-related alternatives. The description only states what it does, without any contextual usage instructions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/hetpatel-11/Adobe_Premiere_Pro_MCP'
If you have feedback or need assistance with the MCP directory API, please join our Discord server