Get cache statistics — size and item count. Useful for monitoring cache utilization and deciding when to clear.
Part of the SteadyFetch server.
Free to start. No card required.
AI agents may call cache_stats to permanently remove or destroy resources in SteadyFetch. Without a policy, an autonomous agent could delete critical data in a loop with no way to undo the damage. PolicyLayer blocks destructive tools by default and requires explicit human approval before enabling them.
Without a policy, an AI agent could call cache_stats in a loop, permanently destroying resources in SteadyFetch. There is no undo for destructive operations. PolicyLayer blocks this tool by default and only allows it when a human explicitly approves the action.
Destructive tools permanently remove data. Block by default. Only enable with explicit approval workflows.
{
"version": "1",
"default": "deny",
"hide": [
"cache_stats"
]
}See the full SteadyFetch policy for all 5 tools.
These attack patterns abuse exactly the kind of access cache_stats gives an agent. Each links to the full case and the policy that stops it:
Other destructive tools across the catalogue. The same approach applies to each: deny by default, or require human approval.
Get cache statistics — size and item count. Useful for monitoring cache utilization and deciding when to clear.. It is categorised as a Destructive tool in the SteadyFetch MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the SteadyFetch MCP server in PolicyLayer and add a rule for cache_stats: 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 SteadyFetch. Nothing to install.
cache_stats is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the cache_stats 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 cache_stats. 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.
cache_stats is provided by the SteadyFetch MCP server (pypi:steadyfetch). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 5 SteadyFetch tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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