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devleads

linkedin_mcp

by devleads

send_connection_request

Send a LinkedIn connection request to a user using their profile ID or URL, with an optional personalized note.

Instructions

Send a connection request to a LinkedIn user.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNoOptional connection note (max 300 chars)
profile_idYesProfile identifier
recipient_urlYesLinkedIn profile URL of the recipient
Behavior1/5

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

With no annotations provided, the description carries full responsibility for behavioral disclosure. It does not mention any side effects, authentication requirements, rate limits, or failure conditions (e.g., if the profile is not accessible or already connected). It provides zero behavioral transparency beyond the action itself.

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 a single concise sentence with no unnecessary words. It is front-loaded with the action. However, its brevity limits its usefulness, so it does not earn a 5.

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 lack of annotations and output schema, the one-line description is insufficient for an agent to understand prerequisites, success/failure indication, or side effects. It is adequate for a trivial tool but incomplete for practical use.

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?

The schema has 100% coverage for all three parameters, so the description does not need to elaborate on them. Since the description adds no additional parameter context, the baseline score of 3 is appropriate.

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 clearly states the action ('Send a connection request') and the target ('a LinkedIn user'). It distinguishes itself from sibling tools like send_message by specifying the connection request resource, which is unique.

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?

There is no guidance on when to use this tool versus alternatives like send_message, nor any mention of prerequisites (e.g., being logged in or having a valid session). The description is a bare statement without context.

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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