New Your team’s decisions, in one playbook every coding agent works from. Never answer your agent twice

resource_save

Load a resource and (re-)save it, optionally to a new path and with ResourceSaver flags. DESTRUCTIVE (writes a file) — gated by confirmation. Shares subresources by reference; use resource_duplicate for an independent copy.

SERVERBreakpoint SOURCEbreakpoint-mcp
Critical RISK CLASS
Category Destructive
Parameters 41 required
Recommended Hiddensee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/breakpoint-mcp/resource-save.md

What resource_save does on Breakpoint

AI agents call resource_save to permanently remove resources in Breakpoint, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

ParameterTypeRequiredDescription
flags integer ResourceSaver.SaverFlags bitmask (e.g. 32 = FLAG_COMPRESS)
confirm boolean Auto-approve this destructive action (skip the confirmation prompt)
to_path string Destination res:// path (default: overwrite from_path)
from_path string Yes Source resource res:// path

Parameters from the server's own tool schema.

Why resource_save is rated Critical

The tool explicitly labels itself as DESTRUCTIVE and writes/overwrites files. Saving to a new path or re-saving an existing resource can overwrite existing data irreversibly. The mention of shared subresources by reference further increases blast radius, as overwriting could affect multiple dependent resources.

From the tool's definition DESTRUCTIVE (writes a file) — gated by confirmation. Shares subresources by reference

Questions about resource_save

What does the resource_save tool do? +

Load a resource and (re-)save it, optionally to a new path and with ResourceSaver flags. DESTRUCTIVE (writes a file) — gated by confirmation. Shares subresources by reference; use resource_duplicate for an independent copy. It is categorised as a Destructive tool in the Breakpoint MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

What parameters does resource_save accept? +

resource_save accepts 4 parameters: flags, confirm, to_path, from_path. Required: from_path. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on resource_save? +

Register the Breakpoint MCP server in PolicyLayer and add a rule for resource_save: 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 Breakpoint. Nothing to install.

What risk level is resource_save? +

resource_save is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit resource_save? +

Yes. Add a rate_limit block to the resource_save 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.

How do I block resource_save completely? +

Set action: deny in the PolicyLayer policy for resource_save. 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.

What MCP server provides resource_save? +

resource_save is provided by the Breakpoint MCP server (breakpoint-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Breakpoint, and thousands of servers like it.

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Breakpoint's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.