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Iridium: LinkedIn MCP Server

approve_content_draft

Approve Content Draft

Publish or schedule one of the user's own LinkedIn posts. THIS POSTS PUBLICLY.

The post appears on the user's profile. Call this only when they have explicitly approved this specific post.

Args: handle: ctnt_ handle from list_content_drafts. post_text: the final text to publish. Required, because the user is expected to edit before publishing. scheduled_at: ISO-8601 with an offset to schedule it. Omit to publish immediately.

Responses:

200: Successful Response (Success Response) Content-Type: application/json

Input Schema

NameRequiredDescriptionDefault
handleYes
post_textYes
scheduled_atNo

Schema Changelog

Changes observed during successful MCP inspections.

No schema history has been recorded yet.

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden. It strongly discloses that the action posts publicly, appears on the user's profile, and requires explicit approval, though it does not cover permissions, reversibility, or failure behavior.

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 key warning and usage condition are front-loaded, and the args section is efficient. The generic responses boilerplate adds little value, but overall it remains compact.

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?

For a high-impact publish/schedule tool with no annotations and no output schema, the description covers the essential public-posting risk, approval condition, and all three parameters. It leaves some gaps around account requirements, reversibility, and error handling.

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

Parameters5/5

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, and it does. It explains handle origin via list_content_drafts, post_text as final editable text and required, and scheduled_at as ISO-8601 with offset where omission publishes immediately.

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 states a specific action and resource: publish or schedule one of the user's own LinkedIn posts, generated from a content draft handle. It clearly distinguishes this from approval tools for comments and replies by naming LinkedIn posts and list_content_drafts.

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 gives an explicit precondition: call only when the user has explicitly approved this specific post. It also points to list_content_drafts as the source of the handle, but it does not explicitly name the relevant alternatives such as rewrite_content_draft or skip_content_draft.

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

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