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abhineet34

linkedin-mcp-server

Delete LinkedIn Post

linkedin_delete_post
Destructive

Permanently delete a LinkedIn post using its URN. Only the author can delete, and the action cannot be undone.

Instructions

Permanently delete a LinkedIn post by its URN.

Only the author of the post can delete it. This action cannot be undone.

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

Args:

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

Returns: Confirmation message on success.

Error Handling:

  • 403 if you are not the author of the post

  • 404 if the post does not exist or is already deleted

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
post_urnYesURN of the post to delete (e.g., 'urn:li:share:7123456789')
Behavior5/5

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

Beyond annotations (destructiveHint=true), the description adds critical context: permanence, author-only restriction, error codes (403/404), and required scopes. This fully informs the agent of behavioral traits.

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 concise, using structured sections (Args, Returns, Error Handling) and front-loading key facts. Every sentence adds value without redundancy.

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?

For a simple one-parameter tool with no output schema, the description fully covers purpose, preconditions, side effects, and error handling. It is contextually complete.

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 input schema already covers post_urn with a description and example. The description's Args section repeats the same information, adding no new semantics beyond the schema. Schema coverage is 100%, so baseline 3 is appropriate.

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 permanently deletes a LinkedIn post by its URN, which is a specific verb and resource. It distinguishes itself from sibling tools like linkedin_update_post or linkedin_create_post by being the only delete operation.

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 specifies that only the author can delete, the action is irreversible, and requires specific OAuth scopes. While it does not explicitly mention alternatives, the destructive nature and unique purpose make usage clear.

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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