Skip to main content
Glama

queue_post

Schedule a post for later execution. Provide text verbatim or a topic to generate text immediately. Optionally set a delay with an ISO 8601 timestamp. Posts are held until you call process_queue.

Instructions

Schedule a post for paced execution. Pass text verbatim, or a topic to generate the text NOW with the configured LLM (the stored payload is final — list_queue shows exactly what will be posted). not_before is an optional ISO 8601 timestamp. Nothing executes until process_queue is called (or auto_drain, if enabled).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textNo
mediaNo
topicNo
accountYes
communityNo
not_beforeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided, so the description carries full burden. It discloses key behaviors: payload finality, optional not_before timestamp, and execution dependency. It does not cover error handling or auth but is transparent about main flow.

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?

Three sentences, concise and front-loaded with the main purpose. No redundant information.

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

Completeness4/5

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

The description covers scheduling, generation, and execution dependency. Despite having an output schema, it doesn't explain return values, but that's acceptable. Minor gap on media and community parameters.

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%. The description explains text, topic, and not_before, but omits media, account, and community. Account is required and relatively clear, but media and community could use more context.

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 tool schedules a post for paced execution, with specific options for text or topic generation. It distinguishes itself from siblings like process_queue and engage.

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?

It explains when to use text vs topic, and notes that execution only happens via process_queue or auto_drain. However, it does not explicitly state when not to use it or list alternatives.

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/ihuzaifashoukat/x-use'

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