Reach MCP — LinkedIn for AI agents

profile_viewers

Read-onlyIdempotent

Get the list of members who recently viewed the account's profile (requires LinkedIn Premium). Use for the 'who viewed my profile' list (needs LinkedIn Premium; empty or an error otherwise). Read-only.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "account_id": "<account_id>"
    },
    "name": "profile_viewers"
  }
}

Input Schema

Name	Required	Description	Default
`account_id`	Yes	Reach id of the LinkedIn account to act on, from list_accounts.

Output Schema

Name	Required	Description	Default
`total`	No
`viewers`	No

Schema Changelog

Changes observed during successful MCP inspections.

First observedSep 10, 2026

TDQS

A4/5.0

Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is covered. The description adds genuinely new behavioral context beyond the structured fields: the LinkedIn Premium auth prerequisite and the empty/error outcome when the prerequisite is unmet.

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 purpose is front-loaded and the description is short, but the LinkedIn Premium precondition is stated twice ('requires LinkedIn Premium' and 'needs LinkedIn Premium'), which is redundant filler in a two-sentence definition.

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?

An output schema exists so return values need not be described, and the description still covers purpose, precondition, and failure mode. It is close to complete for a single-parameter read tool, with only sibling routing left implicit.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Only one parameter and schema coverage is 100%, with the schema documenting account_id as a reach id from list_accounts. The description adds no additional parameter meaning, so the baseline 3 applies.

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 (Get), a specific resource (list of members who recently viewed the account's profile), and frames it against the recognizable 'who viewed my profile' concept. An agent can immediately distinguish it from scrape_profile or visit_profile 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 clear context ('Use for the "who viewed my profile" list') and states the gating condition (requires LinkedIn Premium) plus the failure behavior otherwise. However, it never names an alternative tool or an explicit when-not scenario against siblings, leaving routing to inference.

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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