AI agents call getSprintCapacity to retrieve information from Azure Devops without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves sprint capacity information from Azure DevOps without creating, modifying, deleting, or executing any operations. It is a straightforward read-only query that returns data about sprint capacity for planning and visibility purposes. No harmful side effects are possible from querying this information.
From the tool's definition Tool name 'getSprintCapacity' and description 'Get capacity for a specific sprint' both indicate a retrieval operation with no modification or side effects.
Documented attack patterns abuse exactly the kind of access getSprintCapacity gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Azure Devops, and nothing reaches the server without passing your rules. This is the rule we recommend for getSprintCapacity:
{
"version": "1",
"default": "deny",
"tools": {
"getSprintCapacity": {}
}
}getSprintCapacity is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get capacity for a specific sprint. It is categorised as a Read tool in the Azure Devops MCP Server, which means it retrieves data without modifying state.
Register the Azure Devops MCP server in PolicyLayer and add a rule for getSprintCapacity: 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 Azure Devops. Nothing to install.
getSprintCapacity is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the getSprintCapacity 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 getSprintCapacity. 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.
getSprintCapacity is provided by the Azure Devops MCP server (ryancardin15/azuredevops-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 97 Azure Devops tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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97 Azure Devops tools catalogued and risk-classified — across an index of 42,500+ MCP servers.