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BACH-AI-Tools

LinkedIn Data API MCP Server

get_profile_data_by_url

Retrieves comprehensive LinkedIn profile data from a given profile URL, including experience, skills, education, open to work status, and location.

Instructions

Get all profile data, including experience, skills, language, education, course, and companies, open to work status, hiring status, location. Check Example Responses for more details

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesExample value: https://www.linkedin.com/in/adamselipsky/
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavioral traits. It only lists returned fields and references example responses, but omits authentication needs, rate limits, or any side effects (e.g., read-only nature).

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 a single sentence with an additional note to check examples, making it concise. However, it lacks structure and could be improved by including a bullet list or explicit fields.

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

Completeness3/5

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

The description lists included fields but does not fully compensate for missing output schema. It references 'Example Responses' but does not detail return format. Given the tool's simplicity (1 param) and many siblings, more context would be beneficial.

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 schema describes the 'url' parameter with an example. The description adds no further semantics beyond the schema, which already covers it fully (100% coverage). Scoring baseline 3.

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 retrieves profile data, listing specific fields (experience, skills, etc.). However, it does not distinguish itself from the sibling 'get_profile_data', which likely serves a similar purpose with a different input.

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 like 'get_profile_data' or 'get_profile_data_and_connection_u0026_follower_count'. The agent has no help choosing among many similar profile 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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