login
AI agents use login to create or update resources in A2atlassian — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your A2atlassian environment.
With no description available, classification is based solely on the tool name 'login'. A login operation typically creates an authenticated session (a Write/state-change action) and stores credentials, which aligns with the server description mentioning 'save credentials once'. It is not purely a Read operation, but without further detail confidence is low.
From the tool's definition Tool name 'login'; description is empty and uninformative.
Attacks that exploit this kind of access
login. It is categorised as a Write tool in the A2atlassian MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the A2atlassian MCP server in PolicyLayer and add a rule for login: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches A2atlassian. Nothing to install.
login is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the login rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for login. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
login is provided by the A2atlassian MCP server (yoselabs/a2atlassian). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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