Skip to main content
Glama

worker_task

Execute tasks using a worker with file operations, command execution, and HTTP requests to automate workflows in the Agent Farm platform.

Instructions

Single worker bug with tools to complete a task.
Worker has: read_file, write_file, exec_cmd, http_get, http_post

task: What to do
context: Optional context/background

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYes
contextNo
Behavior2/5

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

With no annotations provided, the description carries full burden but offers minimal behavioral information. It lists available subtools but doesn't explain how they're used, what permissions are needed, whether this creates/destroys resources, or what the execution model is. The mention of 'worker' and 'tools' hints at some execution capability but lacks operational details.

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 brief and structured with bullet-like formatting. However, the first sentence 'Single worker bug with tools to complete a task' is confusing and could be more clearly phrased. The tool listing and parameter explanations are efficiently presented without unnecessary verbiage.

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?

For a tool with no annotations, no output schema, and 0% schema description coverage, the description is inadequate. It doesn't explain what happens when invoked, what results to expect, error conditions, or how it differs from the many sibling swarm/colony tools. The agent lacks sufficient information to use this tool effectively.

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 description coverage is 0%, so the description must compensate but only partially does. It mentions 'task: What to do' and 'context: Optional context/background' which adds basic meaning to parameter names, but doesn't explain format, constraints, or examples. For a tool with 2 parameters and no schema descriptions, this is minimal but not entirely absent.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Single worker bug with tools to complete a task' which is vague and confusing - 'bug' appears to be a typo or misnomer. It lists available tools (read_file, write_file, etc.) but doesn't clearly state what this tool actually does. The purpose is implied rather than explicitly stated as a specific action.

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 on when to use this tool versus the many sibling tools (api_swarm, chunked_analysis, etc.). The description mentions available subtools but provides no context about appropriate use cases, prerequisites, or alternatives. The agent must infer usage from the tool name and parameter names alone.

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/BossX429/agent-farm'

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