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mdnaimul22

LinkedIn MCP Pro Max

by mdnaimul22

profile

Manage LinkedIn profiles by retrieving profile data, analyzing insights, updating headline and summary, and changing the profile cover image. Use this tool to perform profile actions programmatically.

Instructions

Manage LinkedIn profiles.

Args: action: The profile action to perform ('get', 'analyze', 'update', 'update_cover_image'). profile_id: LinkedIn profile ID (username slug) or 'me' for self (for 'get' and 'analyze'). headline: New profile headline (for 'update'). summary: New profile 'About' summary (for 'update'). image_path: Absolute path to the image file (for 'update_cover_image').

allowed_args_for_action = { "get": ["profile_id"], "analyze": ["profile_id"], "update": ["headline", "summary"], "update_cover_image": ["image_path"] }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYes
summaryNo
headlineNo
image_pathNo
profile_idNome

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

Annotations are absent, so the description must disclose side effects. It only gives terse action names and parameter lists; it fails to mention that 'update' changes live data, whether profile ownership is required, or what 'analyze' returns. This is under-disclosed for a tool with write actions.

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 compact, opens with a one-line purpose, and uses a structured Args list plus a dict for allowed combinations. It avoids prose while still conveying the action-per-argument relationships.

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 tool has multiple actions and 5 parameters, and while the description maps parameters to actions, it lacks information about what each action does (especially 'analyze'), whether updates overwrite existing fields, and any prerequisites such as authentication. Given an output schema exists, return values are covered, but overall action context is incomplete.

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 description adds value by defining each parameter's role and the allowed_args_for_action constraint matrix, which is missing from the input schema. Since schema coverage is 0%, this extra context is essential and helps the agent avoid invalid combinations.

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 uses 'Manage LinkedIn profiles' as a clear verb+resource, and the Args section enumerates four specific actions. However, it doesn't differentiate this from sibling tools that also target profile sub-resources (experience, skills, education), so the purpose is clear but not sibling-distinct.

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 an allowed_args_for_action mapping, which tells the agent which parameters apply to each action. Yet it offers no guidance on when to choose this tool over alternatives (e.g., use experience tool to update work history), and no explicit when-not-to-use or prerequisites.

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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