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abhineet34

linkedin-mcp-server

Update LinkedIn Post

linkedin_update_post

Update the text or visibility of an existing LinkedIn post that you authored. Modify commentary without changing attachments.

Instructions

Update the text or visibility of an existing LinkedIn post.

Only the author of the post can update it. Note that LinkedIn only allows updating the commentary (text) and visibility after posting — content attachments (images, articles) cannot be changed post-publish.

Requires scope: w_member_social (member posts) or w_organization_social (org posts)

Args:

  • post_urn (string): URN of the post to update (e.g., 'urn:li:share:7123456789')

  • text (string): New text content (1–3000 characters)

  • visibility ('PUBLIC' | 'CONNECTIONS' | 'LOGGED_IN', optional): New visibility setting

Returns: Confirmation message on success.

Error Handling:

  • 403 if you are not the author of the post

  • 404 if the post does not exist

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
post_urnYesURN of the post to update (e.g., 'urn:li:share:7123456789')
textYesNew text content for the post (max 3000 characters)
visibilityNoUpdated visibility. Omit to keep the existing value.
Behavior5/5

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

Adds significant context beyond annotations: author constraint, non-modifiable fields, scope requirements, error codes. No contradiction with readOnlyHint=false.

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?

Well-structured with sections (description, requirements, args, returns, errors). Slightly long but each sentence adds value. Could be slightly more concise.

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

Completeness5/5

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

Given 3 params and no output schema, description covers inputs, errors, permissions, and success response. Leaves no critical gaps for agent invocation.

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

Parameters4/5

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

Schema coverage is 100%, baseline 3. Description adds value by explaining post_urn format, text length, and visibility options including default behavior when omitted.

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?

Description clearly states it updates text or visibility of an existing post. Distinguishes from siblings like create_post and delete_post through the verb 'update' and specific resource.

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?

Explicitly states only the author can update, and notes limitations on attachments. Mentions required scopes. Could add direct comparison to siblings like 'use this instead of deleting and re-creating'.

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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