Refresh Reporecall context for external tools: re-index code, regenerate deterministic wiki/business pages when enabled, and return optional updated stats.
AI agents call refresh_context to retrieve information from Reporecall without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool maintains internal indices and caches of code context to support other tools. While it performs background indexing, this is a data retrieval and cache regeneration operation with no side effects on the repository itself, financial impact, or external execution. The primary function is to refresh and return context information (stats), fitting the Read category.
From the tool's definition Tool description states it 'refresh[es]' and 're-index[es]' code context, and 'regenerate[s]' wiki/business pages, which are indexing and caching operations. Returns 'updated stats' (query/retrieval).
Documented attack patterns abuse exactly the kind of access refresh_context gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Reporecall, and nothing reaches the server without passing your rules. This is the rule we recommend for refresh_context:
{
"version": "1",
"default": "deny",
"tools": {
"refresh_context": {}
}
}refresh_context is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Refresh Reporecall context for external tools: re-index code, regenerate deterministic wiki/business pages when enabled, and return optional updated stats. It is categorised as a Read tool in the Reporecall MCP Server, which means it retrieves data without modifying state.
Register the Reporecall MCP server in PolicyLayer and add a rule for refresh_context: 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 Reporecall. Nothing to install.
refresh_context 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 refresh_context 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 refresh_context. 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.
refresh_context is provided by the Reporecall MCP server (proofofwork-agency/reporecall). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 30 Reporecall tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
30 Reporecall tools catalogued and risk-classified — across an index of 42,500+ MCP servers.