Skip to main content
Glama
Darius1223
by Darius1223

send_task

Send a Celery task directly without requiring prior registration on the worker. Specify task name, arguments, and options to trigger execution.

Instructions

Send a task via send_task (does not require task to be registered on the worker).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tasknameYes
argsNo
kwargsNo
optionsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only mentions the registration requirement, but omits side effects, permissions, error handling, or return behavior. This is insufficient for a task-sending action.

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 a single compact sentence with no wasted words. It front-loads the action and key distinction. However, it is overly brief for the tool's complexity.

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 the 4 parameters, no annotations, and an output schema, the description lacks essential context: parameter usage, output format, error conditions, and behavioral guarantees (e.g., synchronous vs. asynchronous). It is not complete enough for reliable invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description adds no meaning to the parameters (taskname, args, kwargs, options). The agent has no guidance on how to use these parameters beyond their names.

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 the verb 'Send' and the resource 'a task', and adds a critical differentiator: 'does not require task to be registered on the worker.' This distinguishes it from siblings like apply_task or async_apply_task that likely require prior registration.

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 explicitly mentions when to use this tool (when the task is not registered), but does not name specific alternatives or provide exclusions. However, the contrasting condition is clear and useful for decision-making.

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/Darius1223/celery-flower-mcp'

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