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horizonbymuneeb

linkedin-mcp-pro

send_message

Send a direct message to a LinkedIn connection. Provide the recipient's public ID and your message text.

Instructions

Send a direct message to a LinkedIn member you're connected with.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
public_idYes
textYes
dry_runNo
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only says 'send a direct message', which implies mutation, but does not mention rate limits, side effects, or the existence of the dry_run parameter for testing. The description is insufficient for an agent to understand all behaviors.

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 concise sentence, but it omits necessary parameter details. While efficient, it is under-specified for the tool's complexity.

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 tool has 3 parameters, no output schema, and no annotations, the description should cover return behavior and side effects. It does not, leaving the agent with significant knowledge gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description should explain parameters. It does not describe what public_id represents, the purpose of text, or the dry_run flag. The agent gains no additional meaning beyond the parameter names from the schema.

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 verb 'send' and resource 'direct message to a LinkedIn member', with the condition 'you're connected with'. Among sibling tools, this uniquely identifies the action and distinguishes from send_connection_request or get_conversation.

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 when the target is a connected member, but does not explicitly state when not to use this tool or mention alternatives. It provides a clear context but lacks exclusions.

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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