Skip to main content
Glama

s3_download_object

Download an S3 object to a local file, restricting destination paths to home, current working directory, or ~/Downloads.

Instructions

Download an object from S3 to a local file. local_path must resolve under the user's home directory, current working directory, or ~/Downloads — paths outside these roots are rejected for safety.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyYesObject key.
bucketYesBucket name.
regionNoRegion the bucket lives in (e.g. 'eu-central-1'). Omit unless you know it — it is resolved automatically. AWS only; rejected for Hetzner/OVH, whose region is fixed by the configured endpoint URL.
providerYesStorage provider.
local_pathYesLocal file path to write the downloaded object to.
Behavior3/5

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It reveals a key safety behavior: local_path must resolve under allowed roots and paths outside are rejected. However, it does not mention overwrite behavior, directory creation, or error handling, leaving some behavioral aspects ambiguous.

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?

Two sentences: the first states the purpose, the second states the constraint. No filler or redundancy. Information is front-loaded and every word earns its place.

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

Completeness3/5

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

With 5 parameters, no annotations, and no output schema, the description is somewhat sparse. It covers the core safety constraint but omits details like whether existing files are overwritten or if parent directories are created. Given the tool's relative simplicity, this is acceptable but leaves 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 meaningful semantics for local_path by specifying the exact allowed roots and that paths outside are rejected, which is not present in the schema. Other parameters rely on their schema descriptions, but this addition for local_path elevates the score.

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?

Description opens with 'Download an object from S3 to a local file' — a specific verb, object, and destination. This clearly distinguishes it from sibling tools like s3_upload_object or s3_delete_object. The tool's scope is unambiguous.

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

Usage Guidelines3/5

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

The description does not explicitly state when to choose this tool over alternatives such as s3_copy_object or s3_get_object. The purpose is self-evident, but no alternative names or exclusion criteria are mentioned. The only guidance is a path-safety constraint, which addresses how rather than when.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/zb-ss/servonaut'

If you have feedback or need assistance with the MCP directory API, please join our Discord server