edit_work_item_acceptance_criterion

Rewrite the WORDS of one existing acceptance criterion — its \

SERVERAdrata SOURCE@adrata/adrata-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/adrata-adrata-mcp/edit-work-item-acceptance-criterion.md

WHAT IT DOES

What edit_work_item_acceptance_criterion does on Adrata

AI agents use edit_work_item_acceptance_criterion to create or update resources in Adrata, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Adrata environment.

RISK

Why edit_work_item_acceptance_criterion is rated Medium

An AI agent can call edit_work_item_acceptance_criterion faster than any human can review: one bad instruction and it creates or modifies resources in Adrata by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs edit_work_item_acceptance_criterion safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Adrata, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For edit_work_item_acceptance_criterion, this is the rule to start with:

edit_work_item_acceptance_criterion Rate-limited

edit_work_item_acceptance_criterion 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": {
    "edit_work_item_acceptance_criterion": {
      "limits": [
        {
          "counter": "edit_work_item_acceptance_criterion_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 Adrata, apply this rule, and every edit_work_item_acceptance_criterion call is checked against it from then on.

FAQ

Questions about edit_work_item_acceptance_criterion

What does the edit_work_item_acceptance_criterion tool do? +

Rewrite the WORDS of one existing acceptance criterion — its \. It is categorised as a Write tool in the Adrata MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on edit_work_item_acceptance_criterion? +

Register the Adrata MCP server in PolicyLayer and add a rule for edit_work_item_acceptance_criterion: 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 Adrata. Nothing to install.

What risk level is edit_work_item_acceptance_criterion? +

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

Can I rate-limit edit_work_item_acceptance_criterion? +

Yes. Add a rate_limit block to the edit_work_item_acceptance_criterion 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 edit_work_item_acceptance_criterion completely? +

Set action: deny in the PolicyLayer policy for edit_work_item_acceptance_criterion. 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 edit_work_item_acceptance_criterion? +

edit_work_item_acceptance_criterion is provided by the Adrata MCP server (@adrata/adrata-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Adrata, and thousands of servers like it.

This server

All 395 Adrata tools →

Across the catalogue

edit_screen on Stitch MCP Server → The MCP Attack Database →

Guides

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