check_before_modification

Check if a file can be modified according to AI metadata rules

Server MCP Memory Server keleshteri/mcp-memory
Category Read
Risk class Low
Parameters 00 required

What check_before_modification does on MCP Memory Server

AI agents call check_before_modification to retrieve information from MCP Memory Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why check_before_modification needs a policy

This tool retrieves and evaluates file modification permissions based on existing metadata. It has no side effects—it does not create, modify, delete, execute code, move money, or trigger external operations. It purely queries the state of approval/protection rules to inform whether modifications are allowed. This is a classic Read operation: status verification with zero blast radius.

From the tool's definition Tool name 'check_before_modification' and description 'Check if a file can be modified according to AI metadata rules' indicate a query/verification operation that examines metadata and rules without altering any data.

Questions about check_before_modification

What does the check_before_modification tool do? +

Check if a file can be modified according to AI metadata rules. It is categorised as a Read tool in the MCP Memory Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on check_before_modification? +

Register the MCP Memory Server MCP server in PolicyLayer and add a rule for check_before_modification: 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 MCP Memory Server. Nothing to install.

What risk level is check_before_modification? +

check_before_modification is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit check_before_modification? +

Yes. Add a rate_limit block to the check_before_modification 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 check_before_modification completely? +

Set action: deny in the PolicyLayer policy for check_before_modification. 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 check_before_modification? +

check_before_modification is provided by the MCP Memory Server MCP server (keleshteri/mcp-memory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// THE FULL RECORD

check_before_modification is one line of MCP Memory Server's registry record.

The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.

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

// GET IN TOUCH

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