AI agents call get_match to retrieve information from Tba without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves match data from The Blue Alliance (a FIRST Robotics competition database). It performs a read-only query operation with no side effects, modifications, or destructive capabilities. The use of 'Retrieve' in the description and the data-fetching nature of the function clearly places it in the Read category.
From the tool's definition Tool name 'get_match' and description 'Retrieve the full record for a single match by match key' indicate a query operation that fetches data without modification.
Attacks that exploit this kind of access
Retrieve the full record for a single match by match key (e.g.,. It is categorised as a Read tool in the Tba MCP Server, which means it retrieves data without modifying state.
Register the Tba MCP server in PolicyLayer and add a rule for get_match: 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 Tba. Nothing to install.
get_match 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 get_match 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 get_match. 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.
get_match is provided by the Tba MCP server (@withinfocus/tba-mcp-server). 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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