This record as markdown: /tools/io-github-devopam-mcpg/run-write.md
What run_write does on Mcpg
AI agents use run_write 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 run_write is rated Medium
The name 'run_write' strongly suggests it executes write operations against the PostgreSQL database. On a production-grade PostgreSQL MCP server, a write tool could create or modify data. However, since the description is empty, there is uncertainty about whether it could also execute arbitrary SQL (including destructive statements).
From the tool's definition Tool name 'run_write' implies write operations; description is empty providing no further clarification
Attacks that exploit this kind of access
The rule that runs run_write 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 run_write, this is the rule to start with:
run_write 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 run_write call is checked against it from then on.
Questions about run_write
run_write 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 run_write: 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.
run_write 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 run_write 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 run_write. 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.
run_write 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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