add_retention_policy

A write tool on the Mcpg MCP server.

SERVERMcpg SOURCEpypi:mcpg
Medium RISK CLASS
Category Write
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-devopam-mcpg/add-retention-policy.md

What add_retention_policy does on Mcpg

AI agents use add_retention_policy to create or update resources in Mcpg, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcpg environment.

Why add_retention_policy is rated Medium

The 'add_' prefix indicates a create/modify operation rather than read-only retrieval. This is a Write action because it establishes or changes a retention policy (reversible configuration change). Severity is medium because misconfigured retention policies could cause unintended data deletion over time, but the effect is not immediate or irreversible like Destructive operations.

From the tool's definition Tool name 'add_retention_policy' indicates creation or modification of a retention policy. The empty description prevents full certainty, but the verb 'add' combined with 'policy' in a database context strongly suggests a write operation that creates or…

Questions about add_retention_policy

What does the add_retention_policy tool do? +

add_retention_policy is a write tool on the Mcpg MCP server. It is categorised as a Write tool in the Mcpg MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on add_retention_policy? +

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

What risk level is add_retention_policy? +

add_retention_policy is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit add_retention_policy? +

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

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

add_retention_policy is provided by the Mcpg MCP server (pypi:mcpg). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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