This record as markdown: /tools/delano-postman-mcp-server/update-api.md
What update_api does on Postman
AI agents use update_api to create or update resources in Postman, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Postman environment.
Why update_api is rated Medium
The tool modifies an existing API resource, which is a reversible write operation. It does not delete data (Destructive), does not execute code or trigger external operations (Execute), does not move money (Financial), and does not merely retrieve data (Read).
From the tool's definition Tool name is 'update_api' and description states 'Update an existing API', indicating modification of existing data in a reversible manner.
Attacks that exploit this kind of access
The rule that runs update_api safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Postman, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For update_api, this is the rule to start with:
update_api 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 Postman, apply this rule, and every update_api call is checked against it from then on.
Questions about update_api
Update an existing API. It is categorised as a Write tool in the Postman MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Postman MCP server in PolicyLayer and add a rule for update_api: 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 Postman. Nothing to install.
update_api 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 update_api 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 update_api. 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.
update_api is provided by the Postman MCP server (delano/postman-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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