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Flux LinkedIn MCP

Save LinkedIn Post

save_post

Save a LinkedIn post to your library by its URL. Resolves the post and stores it with source_type='saved'. Optionally pins the post into any collection you own (manual or smart — pinning into a smart collection adds it as an extra alongside the rule's matches). Costs 1 credit per call. Failed lookups don't charge.

Input Schema

NameRequiredDescriptionDefault
urlYesPublic LinkedIn post URL. Accepts linkedin.com/posts/... permalinks and linkedin.com/feed/update/urn:li:activity:... feed URLs.
collection_idNoOptional collection UUID to pin the post into. Must be a collection you own — any type.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and does so well: it discloses source_type='saved', smart-collection pinning behavior, credit cost, and that failed lookups are not charged. These are meaningful behavioral details beyond the schema.

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?

Front-loaded with the core action, then adds only relevant behavioral details. Every sentence contributes useful information without redundancy.

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?

Covers purpose, cost, failure behavior, and collection semantics for a two-parameter tool. It does not describe the return value or duplicate-save behavior, which would be helpful since there is no output schema.

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%, so the baseline is 3. The description adds useful semantics for collection_id by explaining manual vs smart collection pinning behavior, though it does not add URL format details beyond the schema.

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?

States a specific verb and resource: save a LinkedIn post by URL. It also distinguishes the operation from collection-only tools by explaining that saving stores the post in the library and optionally pins it into a collection.

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?

Clearly indicates the primary use case: saving a post by URL, with optional collection pinning. It does not explicitly compare against siblings like add_to_collection or search_posts, but the context is clear enough for selection.

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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