drive_read
Read a file's content from a workspace.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| file_id | Yes | File ID to read | |
| workspace_id | Yes | Workspace ID |
Read a file's content from a workspace.
| Name | Required | Description | Default |
|---|---|---|---|
| file_id | Yes | File ID to read | |
| workspace_id | Yes | Workspace ID |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full responsibility for behavioral transparency. It only states 'read', which implies non-destructiveness, but omits details like required permissions, rate limits, error handling, or return format (plain text vs binary). This leaves the agent underinformed.
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 sentence of 10 words with no redundancy. Every word carries meaning, making it highly concise and easy to parse.
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?
Despite the tool's simplicity, the description lacks critical context such as return format, required permissions, and when to choose this over similar siblings. With no output schema, the agent cannot reliably interpret the result. The description is insufficient for confident tool selection.
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?
Schema coverage is 100% with descriptions for both parameters (file_id, workspace_id), so the schema already documents parameter semantics adequately. The description adds no extra nuance, resulting in a baseline score of 3.
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 reads a file's content from a workspace, using a specific verb ('read') and resource ('file content'). It distinguishes itself from sibling tools like drive_write or drive_delete by implying a non-modifying operation.
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 alternatives such as drive_list (to browse files) or drive_delete (to remove files). The agent receives no context about prerequisites or typical use cases.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools have clear distinct purposes, but drive_context, drive_recall, and drive_search have overlapping retrieval semantics that could confuse an agent. drive_activity and drive_log_run also have potential ambiguity.
All tools follow a consistent 'drive_verb_noun' pattern with clear verbs (e.g., drive_list, drive_write, drive_delete). No mixing of conventions.
20 tools is a reasonable number for a comprehensive workspace management server, covering file operations, collaboration, sandbox, and context retrieval. Not excessive, but slightly above the ideal 3-15 range.
The tool surface covers core CRUD for files, comments, sharing, search, roles, and sandbox features. Missing some minor operations like updating comments or renaming files, but no critical gaps for typical workflows.