populate_placeholder
Populate a placeholder with text.
This record as markdown: /tools/cowork-bench/populate-placeholder.md
What populate_placeholder does on Cowork Bench
AI agents use populate_placeholder to create or update resources in Cowork Bench, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Cowork Bench environment.
Why populate_placeholder is rated Medium
This tool writes/modifies document content by replacing a placeholder with text. It is a reversible write operation with medium severity since it modifies document structure but does not delete or execute code.
From the tool's definition 'Populate a placeholder with text' — creates or modifies content by filling in a placeholder
Attacks that exploit this kind of access
The rule that runs populate_placeholder safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Cowork Bench, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For populate_placeholder, this is the rule to start with:
populate_placeholder 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 Cowork Bench, apply this rule, and every populate_placeholder call is checked against it from then on.
Questions about populate_placeholder
Populate a placeholder with text. It is categorised as a Write tool in the Cowork Bench MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Cowork Bench MCP server in PolicyLayer and add a rule for populate_placeholder: 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 Cowork Bench. Nothing to install.
populate_placeholder 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 populate_placeholder 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 populate_placeholder. 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.
populate_placeholder is provided by the Cowork Bench MCP server (0717376/cowork_bench). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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