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Flux LinkedIn MCP

Get Engagement Brief

get_engagement_brief

For one person, return their recent posts most relevant to what you post about — plus suggested talking points. Use before a warm comment or DM. Free — costs 0 credits.

Identify the person via exactly one of: target_id (a Constellation target — original input), person_id (a row in people), or linkedin_url (any form). The non-campaign forms work even when no Constellation campaign exists.

Input Schema

NameRequiredDescriptionDefault
person_idNopeople.id — when you already have the canonical person row
target_idNoConstellation targets.id — for the original campaign-scoped flow
linkedin_urlNoLinkedIn profile URL (vanity or encoded form) — auto-resolved to a people row

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses that the call is free, that exactly one identifier must be supplied, and that non-campaign forms work without a Constellation campaign, but it does not cover return structure, error behavior, or other operational details.

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 paragraphs, front-loaded with purpose and usage, then identifier rules. Every sentence adds useful information without repetition.

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 tool with no annotations and no output schema, the description explains the return content, cost, identifier constraints, and campaign independence. It is nearly complete, though it could say more about the exact response shape or failure modes.

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, but the description adds meaningful semantics: the three identifiers are mutually exclusive, target_id is campaign-scoped, person_id is the canonical people row, and linkedin_url is auto-resolved. It also clarifies that non-campaign identifiers work without a campaign.

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: returns one person's recent posts relevant to the caller's posting topics, plus suggested talking points. The use case ('before a warm comment or DM') and output shape distinguish it from generic profile or post-listing siblings.

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 usage context ('Use before a warm comment or DM') and explains how to select the person via exactly one identifier. It does not explicitly name when not to use it or point to a specific alternative sibling, so it falls short of full when/when-not guidance.

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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