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…
Attacks that exploit this kind of access
The rule that runs add_retention_policy safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcpg, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For add_retention_policy, this is the rule to start with:
add_retention_policy stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcpg, apply this rule, and every add_retention_policy call is checked against it from then on.
Questions about add_retention_policy
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.
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.
add_retention_policy is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
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.
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.
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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