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AmmYoo7

linkedin-safe-mcp

by AmmYoo7

get_my_profile

Retrieve the authenticated LinkedIn user's profile identity, including name, email, and person URN. Requires login to access personal data.

Instructions

Get the authenticated user's LinkedIn identity (name, email, person URN). Requires login.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
emailNo
localeNo
pictureNo
given_nameNo
person_urnYes
family_nameNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A4.1/5.0
Behavior3/5

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

With no annotations provided, the description carries the responsibility for behavioral disclosure. It usefully states the login requirement and what is returned, but it does not mention failure behavior if unauthenticated, potential rate limits, or the read-only nature beyond the word 'Get'.

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 two short sentences with no filler. The core purpose and the key prerequisite are both front-loaded and easily scannable.

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

Completeness5/5

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

For a zero-parameter tool with an output schema present, the description provides the essential context: what resource is fetched and that authentication is required. Nothing critical seems missing for an agent to select and invoke this tool correctly.

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 tool has zero parameters, so there is nothing meaningful for the description to add about parameter semantics. The schema is fully complete, and the description focuses on output contents rather than inputs, which 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 uses a specific verb ('Get') and identifies the exact resource ('authenticated user's LinkedIn identity'), listing the returned fields (name, email, person URN). This clearly separates it from authentication actions and content-manipulation siblings.

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 conveys a clear prerequisite ('Requires login'), implying it should only be called after authentication. However, it does not explicitly distinguish when to use this tool versus siblings like auth_status, nor does it mention any 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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