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southleft

LinkedIn Intelligence MCP Server

by southleft

batch_get_profiles

Retrieve multiple LinkedIn profiles simultaneously to gather professional information efficiently. Specify up to 10 profile IDs to get basic details and status for each request.

Instructions

Get multiple LinkedIn profiles efficiently.

Args: profile_ids: Comma-separated list of profile public IDs (max 10)

Returns profiles with basic info and success/failure status for each.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
profile_idsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses that the tool returns 'basic info and success/failure status for each,' which adds useful behavioral context beyond the input schema. However, it lacks details on error handling, rate limits, authentication requirements, or what constitutes 'basic info,' leaving gaps for a mutation-free but data-sensitive operation.

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 well-structured and front-loaded with the core purpose, followed by specific parameter and return details. Every sentence adds value, with no redundant information. It could be slightly more concise by integrating the Args/Returns into the main text, but it remains efficient and readable.

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

Completeness4/5

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

Given the tool's low complexity (1 parameter, no nested objects) and the presence of an output schema (which handles return values), the description is reasonably complete. It covers purpose, parameter semantics, and high-level return behavior. For a read-only batch tool, this provides sufficient context, though adding authentication or rate limit notes would enhance it.

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 schema description coverage is 0%, so the description must compensate. It adds crucial semantics: 'profile_ids' is a 'comma-separated list of profile public IDs (max 10),' clarifying format, type, and constraints not in the schema. This fully documents the single parameter, making it clear and actionable for the agent.

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: 'Get multiple LinkedIn profiles efficiently.' It specifies the resource (LinkedIn profiles) and the verb (get multiple), and distinguishes it from the sibling 'get_profile' tool by handling multiple profiles. However, it doesn't explicitly contrast with other profile-related tools like 'get_profile_articles' or 'get_profile_skills'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage context through 'efficiently' and the parameter constraint 'max 10', suggesting this tool is for batch retrieval rather than single profiles. However, it doesn't explicitly state when to use this versus 'get_profile' or other profile tools, nor does it mention prerequisites like authentication or rate limits.

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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