AI agents call tm_compare_runs to retrieve information from Tm without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool appears to perform analysis/comparison of load-testing run data, which is a read operation with no side effects. While the empty description lowers confidence slightly, the tool name and sibling context (other 'get_' and read-like tools) support Read classification. Severity is low because comparison of test runs poses minimal risk even if misused.
From the tool's definition Tool name 'tm_compare_runs' suggests it retrieves and compares data from existing runs without modifying them.
Attacks that exploit this kind of access
tm_compare_runs. It is categorised as a Read tool in the Tm MCP Server, which means it retrieves data without modifying state.
Register the Tm MCP server in PolicyLayer and add a rule for tm_compare_runs: 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 Tm. Nothing to install.
tm_compare_runs 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 tm_compare_runs 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 tm_compare_runs. 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.
tm_compare_runs is provided by the Tm MCP server (trafficmorph-gif/tm-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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