list_work_item_acceptance_criteria

SERVERAdrata SOURCE@adrata/adrata-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/adrata-adrata-mcp/list-work-item-acceptance-criteria.md

WHAT IT DOES

What list_work_item_acceptance_criteria does on Adrata

AI agents call list_work_item_acceptance_criteria to retrieve information from Adrata without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why list_work_item_acceptance_criteria is rated Low

Even though list_work_item_acceptance_criteria only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

list_work_item_acceptance_criteria Allowed

list_work_item_acceptance_criteria is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "list_work_item_acceptance_criteria": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about list_work_item_acceptance_criteria

What does the list_work_item_acceptance_criteria tool do? +

Read the ordered, executable definition of done for one card. Each criterion says where to check, any starting state, what action to perform, and the observable result. A zero-length list is a finding: nobody has stated how QA can decide the card is done. It is categorised as a Read tool in the Adrata MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_work_item_acceptance_criteria? +

Register the Adrata MCP server in PolicyLayer and add a rule for list_work_item_acceptance_criteria: 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 list_work_item_acceptance_criteria? +

list_work_item_acceptance_criteria is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit list_work_item_acceptance_criteria? +

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

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

list_work_item_acceptance_criteria 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.

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