update_instance_record
Change fields on ONE existing record in a collection on one of your subscribed instances. The fields you pass are MERGED into the record — fields you omit keep their values; this never replaces the whole record and cannot remove a field. The result is validated against the collection schema, and ...
This record as markdown: /tools/io-github-proagentstore-platform/update-instance-record.md
What update_instance_record does on ProAgentStore
AI agents use update_instance_record to create or update resources in ProAgentStore, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your ProAgentStore environment.
Why update_instance_record is rated Medium
Reversibly modifies data by merging field updates into existing records without deletion or replacement.
From the tool's definition Change fields on existing record, MERGED into record, never replaces whole record
Attacks that exploit this kind of access
The rule that runs update_instance_record safely
PolicyLayer is an MCP gateway: it sits between your AI agents and ProAgentStore, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For update_instance_record, this is the rule to start with:
update_instance_record 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 ProAgentStore, apply this rule, and every update_instance_record call is checked against it from then on.
Questions about update_instance_record
Change fields on ONE existing record in a collection on one of your subscribed instances. The fields you pass are MERGED into the record — fields you omit keep their values; this never replaces the whole record and cannot remove a field. The result is validated against the collection schema, and a value that would duplicate another record. It is categorised as a Write tool in the ProAgentStore MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the ProAgentStore MCP server in PolicyLayer and add a rule for update_instance_record: 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 ProAgentStore. Nothing to install.
update_instance_record 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_instance_record 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_instance_record. 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_instance_record is provided by the ProAgentStore MCP server (https://mcp.proagentstore.online/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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