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LinkedIn: Create post

linkedin_create_post
Destructive

Publish a LinkedIn post from the user's own account, optionally on a managed company page using post_as. This is a public side effect; use only after the user has clearly approved the final content and target identity.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes
post_asNoExact managed page/company identity returned by linkedin_list_managed_pages; omit to post as the connected person. Never pass a company name or URL.
can_readNo
account_idNoOptional Nilyo connection ID (unipile_account_id from list_connected_accounts). Omit when the user has one account for this provider. When several exist, Nilyo never guesses: list them (display name, identifier, provider user ID), choose the one the user named or ask, and pass its ID here.
can_commentNo
quoted_post_idNoExact provider post ID to quote, returned by post search/list/get. Never pass post text or a URL. Post ID: Exact provider/Unipile post id; LinkedIn commonly uses a preformatted/base64-style post ID. Obtain with: linkedin_search_posts -> result.id; linkedin_list_user_posts -> result.id; instagram_list_user_posts -> result.id Never pass: post text, author user ID, URL unless a resolver tool explicitly accepts it.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Beyond the annotations (readOnlyHint=false, destructiveHint=true, openWorldHint=true), the description explicitly labels the operation a 'public side effect' and requires user approval, which adds consent and visibility context. It does not contradict the annotations.

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?

Two front-loaded sentences state function, scope, side effect, and approval requirement without redundancy. Every sentence adds information needed for safe invocation.

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?

Combined with the schema's detailed parameter descriptions and the annotations, the description covers target identity, approval, and public side effects. It does not describe return values or defaults for can_read/can_comment, but those are minor for invoking this tool successfully.

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?

The main description only elaborates post_as ('managed company page' and 'target identity'), while the schema already carries strong descriptions for post_as, account_id, and quoted_post_id. With 50% schema coverage, the tool definition gives enough parameter meaning overall, but the free-text description itself does little to compensate for the undocumented parameters.

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 ('Publish') with a concrete resource ('a LinkedIn post') and clarifies the account scope: the user's own account or a managed company page via post_as. This clearly separates it from nearby social/list/comment tools even without naming a sibling.

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 sets an explicit precondition: use only after the user has clearly approved the final content and target identity. It does not name an alternative tool, but the approval trigger and public side-effect warning are enough to guide appropriate invocation.

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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