This record as markdown: /tools/a2p2a/read-scores.md
What read_scores does on A2p2a
AI agents call read_scores to retrieve information from A2p2a without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why read_scores is rated Low
Retrieves historical scoring data without modifying records or triggering actions.
From the tool's definition reads scoring snapshot history; no modification or side effects
Attacks that exploit this kind of access
The rule that runs read_scores safely
PolicyLayer is an MCP gateway: it sits between your AI agents and A2p2a, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For read_scores, this is the rule to start with:
read_scores is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect A2p2a, apply this rule, and every read_scores call is checked against it from then on.
Questions about read_scores
读打分快照历史。. It is categorised as a Read tool in the A2p2a MCP Server, which means it retrieves data without modifying state.
Register the A2p2a MCP server in PolicyLayer and add a rule for read_scores: 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 A2p2a. Nothing to install.
read_scores 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 read_scores 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 read_scores. 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.
read_scores is provided by the A2p2a MCP server (tendQQ/a2p2a). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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