AI agents use post_metrics_batch to create or update resources in Topgg — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Topgg environment.
This tool creates or modifies metrics data on the Top.gg platform. While not destructive (entries can be corrected), it can write substantial amounts of data (100 entries per batch).
From the tool's definition Tool name 'post_metrics_batch' and description 'Submit up to 100 metrics entries' indicate data creation/modification. The 'post' verb and 'submit' language confirm write operations.
Attacks that exploit this kind of access
Submit up to 100 metrics entries in a single batch request. It is categorised as a Write tool in the Topgg MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Topgg MCP server in PolicyLayer and add a rule for post_metrics_batch: 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 Topgg. Nothing to install.
post_metrics_batch 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 post_metrics_batch 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 post_metrics_batch. 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.
post_metrics_batch is provided by the Topgg MCP server (paillat-dev/topgg-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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