Skip to main content
Glama

zen_downloads

Download files from URLs, list active downloads, or cancel them.

Instructions

Downloads operations.

Args: op: "download" | "list" | "cancel". url: For "download", the URL to fetch. filename: Optional output filename. query: For "list", a downloads.search query dict.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
opYes
urlNo
filenameNo
queryNo
Behavior2/5

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

With no annotations, the description should disclose behavioral traits (e.g., side effects, permissions). It only lists operations without explaining what happens during download, list (return format), or cancel (how to identify). Minimal transparency.

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?

Extremely concise: three lines plus argument list. Front-loaded with 'Downloads operations.' Every sentence adds value without redundancy.

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?

Given no output schema and 0% schema coverage, the description is incomplete. It lacks details on return values for list/cancel, how to specify download targets, and error handling. An agent would be underinformed for correct invocation.

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?

Schema coverage is 0%, so description compensates partially. It explains op values ('download', 'list', 'cancel'), url context ('For download, the URL to fetch'), and query context ('For list, a downloads.search query dict'). However, filename is only 'Optional output filename' without constraints.

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 'Downloads operations' and lists three specific operations (download, list, cancel) with parameter mappings. Among many zen_* sibling tools, this is the only one dedicated to downloads, making its purpose distinct.

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 given on when to use this tool versus alternatives like zen_cache or zen_intercept. The description does not specify scenarios or prerequisites.

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/JayQuan-McCleary/ZenLink-MCP'

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