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Iridium: LinkedIn MCP Server

list_content_drafts

List Content Drafts

The user's own LinkedIn post drafts, waiting for review. Nothing here has been published.

These are posts the user would publish under their own name, distinct from comment drafts (which go on other people's posts) and outreach drafts (which are connection notes). Show each draft in full and let the user decide. Publishing is a separate step.

Responses:

200: Successful Response (Success Response) Content-Type: application/json

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

No schema history has been recorded yet.

TDQS

A4.1/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden; it does convey read-only intent ('List', 'Nothing here has been published') and that drafts are returned in full for user review, with publishing kept as a separate action. It says nothing about pagination, volume limits, or ordering, which matters for a list endpoint with no output schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Purpose is front-loaded in the first two lines and the sibling differentiation is compact. The trailing '### Responses: 200 ... Content-Type: application/json' block is API boilerplate that adds no selection value and slightly dilutes the payload.

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 zero-param read tool with no output schema and no annotations, the description supplies what matters: scope, what the records are, what they are not, and that review/publish is a separate step. Missing only return-shape details (fields per draft, ordering), which is a modest gap given the tool's simplicity.

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 correctly implies no filtering arguments are available rather than claiming any narrowing controls. No parameter-related compensation is needed.

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 ('List Content Drafts', the user's own LinkedIn post drafts') and immediately narrows scope with 'waiting for review. Nothing here has been published.' It explicitly distinguishes itself from the near-identical siblings list_comment_drafts and outreach drafts by naming both and explaining the difference.

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?

Clear context on when this list is the right one (posts under the user's own name vs. comments on others' posts vs. connection notes), and it flags that 'Publishing is a separate step', routing the agent toward the approve_* siblings. It stops short of naming a fallback like list_drafts for a mixed view, so the routing is strong but not exhaustive.

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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