Skip to main content
Glama
ChimbuezeDavid

Universal LinkedIn MCP Server

get_network_briefing

Retrieve a daily LinkedIn briefing with unread messages, pending invitations, post analytics, and top feed trends.

Instructions

Synthesize a complete daily intelligence briefing: unread messages, pending invitations, post analytics, and top feed trends.

Args: limit: Number of feed items and recent posts to include in the briefing (default: 5).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It states what the tool does but does not mention side effects (though likely read-only), authentication requirements, rate limits, or what happens when data is missing. The only extra detail is the default limit value. This is a significant gap for an aggregation tool that could potentially pull a lot of data.

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?

The description is extremely efficient: a one-sentence purpose followed by the parameter explanation. It is front-loaded with the core action and content list, and every sentence adds value. There is no wasted text.

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?

The tool has an output schema, so return format is covered elsewhere. The description explains the purpose and the parameter, but it lacks usage guidance and behavioral transparency. For a composite tool that aggregates multiple data sources, it would be helpful to explicitly state that it is a one-stop briefing and to note any implications (e.g., latency, data volume). These gaps make it only moderately 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?

The schema provides zero description for the 'limit' parameter (coverage 0%), but the tool description explicitly explains its meaning: 'Number of feed items and recent posts to include in the briefing (default: 5).' This fully compensates for the schema gap, giving the agent clear semantics for the only parameter.

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?

The description states a specific action ('Synthesize a complete daily intelligence briefing') and lists the included content (unread messages, pending invitations, post analytics, top feed trends). This clearly conveys the tool's purpose and distinguishes it from the individual sibling tools like get_feed, get_post_analytics, and get_pending_invitations. However, it does not explicitly name or contrast those alternatives, so it stops short of a 5.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus calling the individual endpoints it aggregates. The description does not mention that this is a convenient alternative or that it should be used when a quick overview is needed. With many sibling tools, this absence makes it hard for an agent to decide between this and the more granular options.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.