Skip to main content
Glama
felipfr

LinkedIn MCP Server

by felipfr

revoke_linkedin_auth

Remove LinkedIn authentication and delete stored tokens to protect account security and revoke access permissions granted through the LinkedIn MCP Server.

Instructions

Revoke LinkedIn authentication and clear stored tokens

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries the full burden. It states the action ('revoke' and 'clear') but lacks critical behavioral details: whether this requires specific permissions, if it's reversible, what happens to ongoing sessions, or if it triggers notifications. For a destructive operation with zero annotation coverage, this is a significant gap.

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, efficient sentence with zero wasted words. It's front-loaded with the core action and resource, making it easy to scan and understand immediately.

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's complexity (a destructive authentication operation) and lack of annotations or output schema, the description is incomplete. It doesn't explain the outcome (e.g., success response, error handling) or behavioral implications, leaving gaps for safe agent usage.

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 0 parameters with 100% schema description coverage, so the schema fully documents the lack of inputs. The description doesn't need to add parameter details, and it correctly implies no inputs are required for this operation, aligning with the schema.

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 clearly states the tool's purpose with specific verbs ('revoke' and 'clear') and identifies the resource ('LinkedIn authentication' and 'stored tokens'). It distinguishes itself from siblings like 'authenticate_linkedin' by focusing on deauthorization rather than authorization, though it doesn't explicitly contrast with other tools.

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. It doesn't mention prerequisites (e.g., must be authenticated first), consequences (e.g., what happens after revocation), or related tools (e.g., 'authenticate_linkedin' for re-authentication).

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

Related 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/felipfr/linkedin-mcpserver'

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