Skip to main content
Glama
devleads

linkedin_mcp

by devleads

get_profile

Retrieves LinkedIn profile details from a URL, optionally including recent posts and comments for a complete view.

Instructions

Get LinkedIn profile details by URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
max_postsNoMaximum number of recent posts to fetch when include_activity is true (default: 5)
profile_idYesProfile identifier (your account)
linkedin_urlYesURL of the LinkedIn profile to view
include_activityNoWhether to fetch recent posts and comments (default: false)
Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure. It only says 'Get LinkedIn profile details by URL,' implying a read operation, but does not mention any side effects, session requirements, or external network calls. It adds no context beyond what the tool name already implies.

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 sentence with no redundant words. It is front-loaded with the core action and resource, making it very efficient.

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?

For a moderate-complexity tool with 4 params and no output schema, the description is minimal. It does not clarify what 'details' includes or mention the optional activity fetching behavior (though the schema covers this). It is adequate but leaves the agent to infer expected output and prerequisites.

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?

Schema description coverage is 100%, so each parameter is well-documented in the schema. The description adds only 'by URL,' which aligns with the linkedin_url parameter but does not explain max_posts or include_activity. This meets the baseline for high schema coverage without adding significant value.

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

Purpose5/5

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

The description 'Get LinkedIn profile details by URL' clearly states a specific action (get details) on a specific resource (LinkedIn profile) via a specific input method (URL). This distinguishes it from sibling tools like get_company and get_post by explicitly naming 'profile'.

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. There is no mention of prerequisites, exclusions, or comparison to sibling tools such as get_company or get_post. The only hint is the resource name, which is implicit, not explicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/devleads/linkedin_mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server