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omnipress_queue_post

Queue social media posts to LinkedIn, X, Threads, or Reddit in Draft/Review mode, with optional scheduling, media, and sanitization.

Instructions

Queues a post or thread to social platforms (LinkedIn, X, Threads via Buffer, or Reddit) in Draft/Review mode.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesPost text or thread segment
titleNoOptional post title (used for Reddit or headline feeds)
sanitizeNoWhether to sanitize sensitive IDs before queuing (default true)
platformsNoTarget platforms: ["linkedin"], ["x"], ["threads"], ["reddit:subreddit_name"], or ["all"]
media_urlsNoOptional media URLs or links
schedule_timeNoOptional ISO timestamp or schedule format

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does add one meaningful behavior—queuing to Draft/Review mode—but it omits other important traits such as whether the action is reversible, whether authentication or platform configuration is required, what happens after queueing, or what response the agent should expect.

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?

The description is a single, front-loaded sentence with no filler. It communicates the core action, target platforms, and mode efficiently.

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?

The tool has 6 parameters and no output schema, yet the description gives no information about return values, scheduling semantics, platform-specific constraints, or when queueing should be preferred over publishing. The schema covers the parameters, but the description leaves too much operational context missing for an agent to invoke the tool confidently.

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 100%, so the parameters are already fully documented in the schema. The description does not add parameter-level detail beyond what the schema provides, which matches the baseline of 3.

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 uses a specific verb ('Queues') with a clear resource ('a post or thread') and names the target platforms. It also states that the post is placed in Draft/Review mode, which distinguishes it from a publishing action like the sibling omnipress_publish_article.

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 explicit guidance is given about when to use this tool versus alternatives such as omnipress_publish_article. The Draft/Review mode implies a pre-publication use case, but the description never states the conditions or exclusions that would steer an agent toward or away from this tool.

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