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BACH-AI-Tools

Fresh Linkedin Profile Data MCP Server

Google Profiles

google_profiles

Search Google to discover LinkedIn profiles and extract profile details such as name, title, and contact info via the Fresh Linkedin Profile Data API.

Instructions

2 credits per call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv2.0.0

TDQS

D1.6/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full behavioral disclosure burden. It mentions only the credit cost and reveals nothing about side effects, return behavior, rate limits, or data scope.

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

Conciseness2/5

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

The description is very short, but it is under-specified rather than concise in a helpful way. A single cost line does not earn its place because it leaves the tool's purpose entirely unexplained.

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

Completeness1/5

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

With no annotations, no output schema, and no purpose statement, the description is critically incomplete. An agent has no basis for selecting or invoking 'google_profiles' correctly.

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 is empty with 0 parameters, so there are no parameters to document. Baseline for zero-param tools is 4; the description adds nothing semantically but also has no parameter burden to meet.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description only states '**2** credits per call' and never says what the tool does. There is no verb, no resource, and no indication of what 'google_profiles' returns or how it relates to the other tools.

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

Usage Guidelines1/5

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, what problem it solves, or when to prefer a sibling like search_leads or get_profiles_posts. The description provides zero context for tool selection.

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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