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adampaulwalker

Google Drive CRUD MCP Server

Update Drive File

update_drive_file
Destructive

Update Google Drive file metadata and properties: rename, edit description, move between folders, star/unstar, trash/restore, adjust sharing permissions, and set custom properties by file ID.

Instructions

Updates metadata and properties of a Google Drive file.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoNew name for the file.
file_idYesThe ID of the file to update. Required.
starredNoWhether to star/unstar the file.
trashedNoWhether to move file to/from trash.
mime_typeNoNew MIME type (note: changing type may require content upload).
propertiesNoCustom key-value properties for the file.
add_parentsNoComma-separated folder IDs to add as parents.
descriptionNoNew description for the file.
remove_parentsNoComma-separated folder IDs to remove from parents.
user_google_emailYesThe user's Google email address. Required.
writers_can_shareNoWhether editors can share the file.
copy_requires_writer_permissionNoWhether copying requires writer permission.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

Annotations already declare destructiveHint=true and readOnlyHint=false. The description adds no behavioral context, such as potential data loss from trashing or parent changes. It merely restates the tool's purpose without disclosing consequences beyond what the annotations already convey.

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 short sentence with no redundant words, and it is front-loaded with the verb 'Updates'. It is appropriately concise, though it could arguably include a bit more detail without becoming verbose.

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?

Despite having 12 parameters and an output schema, the description is very vague about the scope of updates (e.g., rename, trash, permissions, parent changes) and lacks any context for when to use this tool. The schema compensates with parameter descriptions, but the overall tool guidance is incomplete for an AI agent.

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?

The input schema covers all 12 parameters with descriptions (100% coverage). The description adds no additional parameter semantics; the schema already provides details like 'Whether to move file to/from trash' for the trashed parameter.

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 states a specific verb ('Updates') and resource ('Google Drive file'), clearly indicating it modifies file metadata and properties. However, it does not distinguish from sibling tools like 'set_drive_file_permissions' which also updates file properties, so it lacks explicit differentiation.

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 is provided on when to use this tool versus alternatives such as 'create_file', 'copy_drive_file', or 'manage_drive_access'. The description gives no context, prerequisites, or exclusions, leaving the agent to infer the appropriate usage scenario.

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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