evidence_set_label

Add a label to a record, keeping its existing labels.

SERVERAbraFlexi SOURCEabraflexi-mcp-server

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity verified Pull the record →

This record as markdown: /tools/abraflexi/evidence-set-label.md

WHAT IT DOES

What evidence_set_label does on AbraFlexi

AI agents use evidence_set_label 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.

RISK

Why evidence_set_label is rated Medium

The tool modifies data by appending a label to a record. This is a reversible write operation (labels can typically be removed). It does not delete data (not Destructive), execute code (not Execute), move money (not Financial), or merely retrieve data (not Read).

From the tool's definition Tool description states 'Add a label to a record, keeping its existing labels.' This is a create/modify operation that adds metadata to an existing record.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs evidence_set_label 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_set_label, this is the rule to start with:

evidence_set_label Rate-limited

evidence_set_label 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "evidence_set_label": {
      "limits": [
        {
          "counter": "evidence_set_label_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect AbraFlexi, apply this rule, and every evidence_set_label call is checked against it from then on.

FAQ

Questions about evidence_set_label

What does the evidence_set_label tool do? +

Add a label to a record, keeping its existing labels. 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.

How do I enforce a policy on evidence_set_label? +

Register the AbraFlexi MCP server in PolicyLayer and add a rule for evidence_set_label: 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.

What risk level is evidence_set_label? +

evidence_set_label is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit evidence_set_label? +

Yes. Add a rate_limit block to the evidence_set_label 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.

How do I block evidence_set_label completely? +

Set action: deny in the PolicyLayer policy for evidence_set_label. 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.

What MCP server provides evidence_set_label? +

evidence_set_label 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.

KEEP EXPLORING

More on AbraFlexi, and thousands of servers like it.

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All 64 AbraFlexi tools →

Across the catalogue

emit_assumption_set on 0sec →set-prioity on Kanban MCP Server →generate_evidence_manifest on Android Forensics ADB MCP Server →create-label on Meme MCP Server → The MCP Attack Database →

Guides

Govern customer-ops agents →Argument validation →Scoped token →