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drive_sandbox_exec

[EXPERIMENTAL] Run a shell command inside the per-workspace Linux sandbox. Captures stdout/stderr (64 KB cap), exit code, duration. Requires Cloudflare Containers; degrades to 503 otherwise.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cmdYesShell command to run inside the per-workspace Linux sandbox
cwdNoWorking directory (default: workspace root)
timeout_msNoMax runtime in ms (default 30000, hard cap 60000)
workspace_idYesWorkspace whose sandbox to run in

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description provides key behaviors: experimental status, output cap (64KB), exit code, duration, dependency on Cloudflare Containers, and error condition (503). Missing details on side effects or concurrency, but adequate.

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 a single concise paragraph, front-loaded with '[EXPERIMENTAL]', and efficiently covers purpose, constraints, and requirements without waste.

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

Completeness5/5

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

The description covers all key aspects: what the tool does, input parameters (via schema), output behavior (stdout/stderr, exit code, duration), and special conditions (experimental, Cloudflare requirement). No gaps.

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?

Schema coverage is 100%, so baseline is 3. The description adds value by mentioning the 64KB output cap and default timeout (30000 ms, hard cap 60000), which are not in the schema.

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 states it runs a shell command inside a per-workspace Linux sandbox, captures stdout/stderr (64KB cap), exit code, and duration. It distinguishes from siblings like drive_sandbox_clone, commit, read by specifying execution behavior.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description notes it is experimental and requires Cloudflare Containers, degrading to 503 otherwise. It implies usage context for running commands but does not explicitly state when not to use or compare to alternatives.

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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TDQS

A3.6/5.0
Disambiguation4/5

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.

Naming Consistency5/5

All tools follow a consistent 'drive_verb_noun' pattern with clear verbs (e.g., drive_list, drive_write, drive_delete). No mixing of conventions.

Tool Count4/5

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.

Completeness4/5

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.