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Flux LinkedIn MCP

List Post Collections

list_collections

List all post collections for the authenticated user, with member counts. Includes manual collections, smart collections (predicate-based), and auto_stream collections (system-managed). Free — costs 0 credits.

Input Schema

NameRequiredDescriptionDefault
typeNoOptional filter by collection type

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It adds genuinely useful context the schema can't express: the result includes member counts, all three collection types are returned together, and the call is free (0 credits). However, it does not state read-only semantics, ordering, or pagination behavior for what is presumably a potentially large list.

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?

Three short sentences, front-loaded with the core action, then the scope, then the cost caveat. Nothing is repeated and every sentence adds information.

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

Completeness3/5

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

There is no output schema, so the description must convey the return shape; it does so only partially (member counts, three types) and leaves the per-collection fields, ordering, and any pagination unspecified. For a simple zero-required-param list tool this is adequate but not complete.

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% and the enum is self-documented, so the baseline is 3. The description earns an extra point by explaining what the enum values actually mean in domain terms — smart collections are 'predicate-based' and auto_stream collections are 'system-managed' — which tells the agent something about mutability that the schema does not.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('List all post collections') plus the returned enrichment ('with member counts'), which tells the agent exactly what it gets. It also enumerates the three collection kinds, so an agent can distinguish this from list_segments or list_streams by resource alone, though it never names those siblings explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied: an agent can infer this is the discovery step before add_to_collection or resolve_collection, but the description never says when to call it or when a different listing tool (list_segments, list_streams) is the right choice. No exclusions or prerequisites are stated.

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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