Skip to main content
Glama
BACH-AI-Tools

LinkedIn Api8 MCP Server

get_profile_data_connection_u0026_follower_count_and_pos

Retrieve LinkedIn profile data, connection count, follower count, and recent posts for any username. Uses 2 credits per call.

Instructions

Get Profile Data, Connection \u0026 Follower Count and Posts. 2 credits per call

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
usernameYesExample value: adamselipsky
Behavior3/5

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

No annotations are provided, so the description carries the burden. It adds the credit cost (2 credits per call) which is useful, but does not disclose other behavioral traits like read-only/destructive nature, rate limits, or side effects. The cost information is positive but insufficient for full transparency.

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

Conciseness4/5

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

The description is concise with a single sentence and includes essential credit cost information. However, it could be slightly more structured with bullet points or clearer separation of features.

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 many sibling tools and lack of output schema, the description is too minimal. It doesn't explain what specific profile data is retrieved, the format of posts, or pagination, leaving significant gaps for the agent to use the tool effectively.

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?

Schema coverage is 100% with one parameter 'username' described by an example. The description does not add any additional meaning or constraints beyond the schema, so baseline 3 applies.

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 states the tool gets profile data, connection & follower count, and posts. However, it does not differentiate from similar sibling tools like 'get_profile_data_and_connection_u0026_follower_count' or 'get_profile_connection_u0026_follower_count', which likely overlap.

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?

No guidance on when to use this tool versus alternatives. The description does not mention prerequisites, contexts, or exclusions, leaving the agent without selection criteria.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/BACH-AI-Tools/bachai-linkedin-api8'

If you have feedback or need assistance with the MCP directory API, please join our Discord server