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Flux LinkedIn MCP

List Segment Templates

list_segment_templates

List available smart-segment templates. Pass a template id to create_segment to pre-fill its config predicate without crafting one from scratch. Free — costs 0 credits.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden, and it does disclose the cost profile ('Free — costs 0 credits'), which is real behavioral context an agent would otherwise have to guess. It leaves unstated whether templates are system-provided/static and says nothing about result shape, but for a zero-parameter read it covers the main risk (credit cost).

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 short sentences, no filler. The core purpose is front-loaded and the downstream usage and cost note follow in a logical order.

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?

For a parameterless list with no output schema, the description supplies purpose, follow-up usage, and cost. The only meaningful gap is the shape of each returned template (id, name, description), which an agent would need to use the ids correctly.

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?

The tool takes zero parameters, so the baseline is 4. The description goes slightly beyond by explaining what the returned template id is for, which is useful semantics about the output even though it cannot describe input params.

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 available smart-segment templates. The mention of template ids feeding create_segment implicitly separates it from the sibling list_segments, which returns segments themselves rather than templates, though it never names that sibling explicitly.

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?

Gives a clear workflow: call this first, then pass a returned template id to create_segment to pre-fill the config predicate instead of authoring one manually. No explicit exclusions or when-not-to-use guidance, but the intended context is unambiguous.

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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