login
Starts a browser-based OAuth login to LinkedIn, storing the token locally for future post retrieval.
Instructions
Start browser-based LinkedIn OAuth login and store the token locally
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Starts a browser-based OAuth login to LinkedIn, storing the token locally for future post retrieval.
Start browser-based LinkedIn OAuth login and store the token locally
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must convey behavior. It states the action (start login) and side effect (store token), but lacks details on potential user interaction requirements, conditional behavior if already logged in, or token management.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single sentence that is front-loaded with the primary action and includes key information. No unnecessary words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter tool, the description is minimal but misses details about return values, prerequisites, and interaction with sibling tools like auth_status. It is adequate but not fully complete for an agent navigating authentication flow.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has no parameters, so schema description coverage is 100%. The description correctly adds no parameter information, but does not need to; baseline of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb 'Start' and clearly identifies the resource as 'browser-based LinkedIn OAuth login'. It also implies storing the token, distinguishing it from sibling tools like 'auth_status' and 'logout'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implicitly indicates when to use the tool (to initiate login) but provides no explicit guidance on when not to use it or mention of alternatives like checking auth_status first.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/flin-agency/flin-linkedin-posts-mcp'
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