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BACH-AI-Tools

Li Data Scraper MCP Server

get_public_profile_data_by_url

Extract public LinkedIn profile information from a URL to enrich contact data for research, recruitment, or networking purposes.

Instructions

Enrich public profile data

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. 'Enrich public profile data' implies a read-only operation that might fetch or augment data, but it doesn't specify behavioral traits such as whether it requires authentication, has rate limits, what data sources it uses, or what the output format might be. The description is too vague to adequately inform the agent about how the tool behaves beyond a basic read intent.

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

Conciseness3/5

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

The description is a single phrase 'Enrich public profile data', which is concise but under-specified. It lacks structure such as front-loading key details or elaboration that could add clarity. While it avoids unnecessary words, it fails to provide enough context to be truly helpful, making it more sparse than efficiently concise.

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 complexity implied by 'enrich' (which suggests data augmentation) and the lack of annotations and output schema, the description is incomplete. It doesn't explain what 'enrich' entails, what data is returned, or any behavioral constraints. For a tool with no structured support, the description should provide more context to guide the agent effectively, but it falls short.

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, and the schema description coverage is 100% (though trivial since there are no parameters). The description doesn't need to add parameter semantics, as there are none to document. A baseline score of 4 is appropriate because the description doesn't have to compensate for any parameter gaps, and it aligns with the empty input schema.

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

Purpose2/5

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

The description 'Enrich public profile data' is vague about the specific action and resource. It mentions 'public profile data' but doesn't specify what 'enrich' means operationally (e.g., fetch, augment, or retrieve). While it distinguishes from some siblings like 'ping' or 'search_people', it doesn't clearly differentiate from similar tools like 'get_profile_data_and_connection_u0026_follower_count' or 'get_profile_recent_activity_time', leaving the purpose ambiguous.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention any context, prerequisites, or exclusions for usage. Given siblings like 'get_profile_data_and_connection_u0026_follower_count' that might overlap in functionality, the lack of explicit or implied usage guidelines makes it unclear when this tool is the appropriate choice.

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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