get_sprint_issues

get_sprint_issues

Server Mcp Atlassian voarsh2/mcp-atlassian
Category Read
Risk class Low
Parameters 00 required

What get_sprint_issues does on Mcp Atlassian

AI agents call get_sprint_issues to retrieve information from Mcp Atlassian without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_sprint_issues needs a policy

Based on naming convention and context from sibling tools that perform read-only retrieval of Jira data, this tool appears to fetch sprint issues without modifying data. The verb 'get' is characteristic of Read operations. Confidence is slightly reduced due to empty description, but the semantic context is clear.

From the tool's definition Tool name 'get_sprint_issues' indicates retrieval of sprint-related issues. The broader server description mentions 'search' and 'get' operations as Read category actions.

Questions about get_sprint_issues

What does the get_sprint_issues tool do? +

get_sprint_issues. It is categorised as a Read tool in the Mcp Atlassian MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_sprint_issues? +

Register the Mcp Atlassian MCP server in PolicyLayer and add a rule for get_sprint_issues: 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 Mcp Atlassian. Nothing to install.

What risk level is get_sprint_issues? +

get_sprint_issues is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_sprint_issues? +

Yes. Add a rate_limit block to the get_sprint_issues 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.

How do I block get_sprint_issues completely? +

Set action: deny in the PolicyLayer policy for get_sprint_issues. 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.

What MCP server provides get_sprint_issues? +

get_sprint_issues is provided by the Mcp Atlassian MCP server (voarsh2/mcp-atlassian). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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