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felipfr

LinkedIn MCP Server

by felipfr

get_profile_analytics

Retrieve comprehensive profile performance and engagement metrics for LinkedIn profiles.

Instructions

Access comprehensive profile performance and engagement metrics

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are present, so the description must disclose behavioral traits. It states 'comprehensive' metrics but fails to mention read-only nature, authentication requirements, or any potential side effects. For a tool with no annotations, this is insufficient.

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

Conciseness3/5

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

The description is extremely concise with a single phrase. However, it sacrifices necessary detail for brevity, making it under-specified for an effective agent. It could benefit from structured information about metrics scope or usage.

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

Completeness2/5

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

Given the absence of output schema, annotations, and parameters, the description is incomplete. It does not explain what metrics are returned, time ranges, or how to interpret results. The tool's purpose is clear, but operational context is missing.

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 input schema has zero parameters, so no additional parameter information is needed. The description adds no value beyond the schema, but baseline for 0-param tools is 4. No issues.

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 clearly identifies the purpose: accessing profile performance and engagement metrics. The verb 'access' is acceptable, and the resource is specific to profile analytics, distinguishing it from post analytics or basic profile retrieval. However, no explicit differentiation from sibling tools like get_post_analytics is provided.

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?

The description provides no guidance on when to use this tool versus alternatives, nor does it mention prerequisites or exclusions. Implicitly, it's for profile-level metrics, but without explicit context, an AI agent has no criteria for choosing it over sibling tools.

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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