Create or update an inline policy for an IAM role. This tool creates a new inline policy or updates an existing one for the specified role. Inline policies are directly embedded in a single user, role, or group and have a one-to-one relationship with the identity. Args: role_name: The name ...
Single-target operation
Part of the AWS IAM MCP Server MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents use put_role_policy to create or modify resources in AWS IAM MCP Server. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call put_role_policy repeatedly, creating or modifying resources faster than any human could review. Intercept's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach AWS IAM MCP Server.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
tools:
put_role_policy:
rules:
- action: allow
rate_limit:
max: 30
window: 60See the full AWS IAM MCP Server policy for all 29 tools.
Agents calling write-class tools like put_role_policy have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
Create or update an inline policy for an IAM role. This tool creates a new inline policy or updates an existing one for the specified role. Inline policies are directly embedded in a single user, role, or group and have a one-to-one relationship with the identity. Args: role_name: The name of the IAM role policy_name: The name of the inline policy policy_document: The policy document in JSON format confirmed: Must be true to confirm this write operation Returns: InlinePolicyResponse containing the policy details and operation status. It is categorised as a Write tool in the AWS IAM MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Add a rule in your Intercept YAML policy under the tools section for put_role_policy. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the AWS IAM MCP Server MCP server.
put_role_policy 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 put_role_policy rule in your Intercept 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 Intercept policy for put_role_policy. 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.
put_role_policy is provided by the AWS IAM MCP Server MCP server (awslabs.iam-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.