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BACH-AI-Tools

Li Data Scraper MCP Server

about_the_profile

Retrieve LinkedIn profile verification details, join date, contact information updates, and profile photo change history for data enrichment and verification purposes.

Instructions

Get profile verification details, profile’s joined, contact information updated, and profile photo updated date

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. While 'Get' implies a read-only operation, it doesn't specify authentication requirements, rate limits, error conditions, or what happens if the profile doesn't exist. For a tool with zero annotation coverage, this leaves critical behavioral traits undocumented.

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

Conciseness5/5

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

The description is a single, efficient sentence that front-loads the key action ('Get') and lists the specific data points to be retrieved. There is no wasted verbiage, repetition, or unnecessary elaboration, making it highly concise and well-structured for quick comprehension.

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?

Given the tool's complexity (simple read operation with no parameters) and the absence of annotations and output schema, the description is minimally adequate. It specifies what data will be retrieved but doesn't cover behavioral aspects like authentication or error handling. For a tool with no structured output documentation, it could benefit from more detail on return format or data structure.

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 tool has 0 parameters with 100% schema description coverage, so the schema fully documents the input requirements. The description doesn't need to add parameter information, and it appropriately focuses on the output semantics (what data will be retrieved). This meets the baseline expectation for tools with no parameters.

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's purpose with specific verbs ('Get') and resources ('profile verification details', 'profile's joined', 'contact information updated', 'profile photo updated date'), making it easy to understand what information will be retrieved. However, it doesn't explicitly differentiate from sibling tools like 'get_profile_data_and_connection_u0026_follower_count' or 'get_public_profile_data_by_url', which might also retrieve profile-related data.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, context, or exclusions, leaving the agent to infer usage based on the purpose alone. With many sibling tools that might overlap in functionality (e.g., 'get_profile_data_and_connection_u0026_follower_count'), this lack of differentiation is a significant gap.

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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