This record as markdown: /tools/abraflexi/evidence-unset-labels.md
What evidence_unset_labels does on AbraFlexi
AI agents use evidence_unset_labels to create or update resources in AbraFlexi, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AbraFlexi environment.
Why evidence_unset_labels is rated Medium
Removing all labels from a record is a reversible modification (labels can be re-added), making this a Write operation. However, it does affect all labels at once, which could have moderate impact if misused, hence medium severity.
From the tool's definition 'Remove all labels from a record' — removes all labels but does not delete the record itself
Attacks that exploit this kind of access
The rule that runs evidence_unset_labels safely
PolicyLayer is an MCP gateway: it sits between your AI agents and AbraFlexi, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For evidence_unset_labels, this is the rule to start with:
evidence_unset_labels 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 AbraFlexi, apply this rule, and every evidence_unset_labels call is checked against it from then on.
Questions about evidence_unset_labels
Remove all labels from a record. It is categorised as a Write tool in the AbraFlexi MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the AbraFlexi MCP server in PolicyLayer and add a rule for evidence_unset_labels: 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 AbraFlexi. Nothing to install.
evidence_unset_labels 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 evidence_unset_labels 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 evidence_unset_labels. 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.
evidence_unset_labels is provided by the AbraFlexi MCP server (abraflexi-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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