graph_blocking_analysis
AI agents use graph_blocking_analysis to create or update resources in IMS MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your IMS MCP Server environment.
An AI agent can call graph_blocking_analysis faster than any human can review — one bad instruction and it creates or modifies resources in IMS MCP Server by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
graph_blocking_analysis. It is categorised as a Write tool in the IMS MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the IMS MCP Server MCP server in PolicyLayer and add a rule for graph_blocking_analysis: 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 IMS MCP Server. Nothing to install.
graph_blocking_analysis 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 graph_blocking_analysis 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 graph_blocking_analysis. 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.
graph_blocking_analysis is provided by the IMS MCP Server MCP server (jdelon02/ims-mcp). 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.
Teams ship this data inside their own products. See what a licence covers →