AI agents call schemes.listFieldConfigurations to retrieve information from Gojira without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns field configuration information from Jira, which is a read-only operation with no side effects. It matches the Read category pattern of retrieving or querying data without altering system state.
From the tool's definition Tool name 'listFieldConfigurations' and description 'List field configurations' both indicate a retrieval operation with no modification or deletion of data.
Attacks that exploit this kind of access
List field configurations. It is categorised as a Read tool in the Gojira MCP Server, which means it retrieves data without modifying state.
Register the Gojira MCP server in PolicyLayer and add a rule for schemes.listFieldConfigurations: 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 Gojira. Nothing to install.
schemes.listFieldConfigurations 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 schemes.listFieldConfigurations 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 schemes.listFieldConfigurations. 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.
schemes.listFieldConfigurations is provided by the Gojira MCP server (windoze95/gojira-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.
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