error_summary
What is RECURRING in the platform error log, rather than what happened last — ask this before list_errors when the question is \
This record as markdown: /tools/io-github-proagentstore-platform/error-summary.md
What error_summary does on ProAgentStore
AI agents call error_summary to retrieve information from ProAgentStore without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why error_summary is rated Low
Tool retrieves and analyzes error log data without side effects or modifications.
From the tool's definition recurring platform error log; query-only, no modification or execution.
Attacks that exploit this kind of access
The rule that runs error_summary safely
PolicyLayer is an MCP gateway: it sits between your AI agents and ProAgentStore, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For error_summary, this is the rule to start with:
error_summary 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 ProAgentStore, apply this rule, and every error_summary call is checked against it from then on.
Questions about error_summary
What is RECURRING in the platform error log, rather than what happened last — ask this before list_errors when the question is \. It is categorised as a Read tool in the ProAgentStore MCP Server, which means it retrieves data without modifying state.
Register the ProAgentStore MCP server in PolicyLayer and add a rule for error_summary: 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 ProAgentStore. Nothing to install.
error_summary 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 error_summary 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 error_summary. 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.
error_summary is provided by the ProAgentStore MCP server (https://mcp.proagentstore.online/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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