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BACH-AI-Tools

LinkedIn Data API MCP Server

get_profile_data

Access and enrich LinkedIn profile data including experience, skills, languages, and companies by providing a username.

Instructions

Enrich profile data, including experience, skills, language and companies.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
usernameYesExample value: adamselipsky
Behavior2/5

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

No annotations provided, and the description does not disclose behavioral traits such as whether the tool is read-only, authorization needs, or error handling. It only lists data categories without behavioral context.

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, consisting of one sentence with no superfluous words. It could be slightly more structured (e.g., bullet points), but it efficiently conveys the core idea.

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 an output schema and the presence of many similar sibling tools, the description is insufficient. It does not explain the return structure, edge cases, or how this tool differs from others like 'get_profile_data_by_url'.

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?

The single parameter 'username' is described in the schema with an example value. The tool description adds value by indicating what data is returned (experience, skills, etc.), but does not clarify the format or constraints of the username parameter.

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

Purpose3/5

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

The description states the tool 'enrich[es] profile data' and lists categories (experience, skills, language, companies), which gives a sense of purpose. However, 'enrich' is vague and doesn't clearly differentiate from sibling tools like 'get_profile_data_and_connection_follower_count_and_pos'.

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 explicit guidance on when to use this tool versus the many sibling tools. There is no mention of when-not-to-use or alternative tools, leaving the agent to guess the appropriate context.

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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