list_my_work_items
The cards that are YOURS, across every board in the workspace, ordered the way a developer actually picks: parked cards last (Deep backlog is where work was deliberately shelved, and offering it back argues with whoever parked it), then escalated first (the top band of each card
This record as markdown: /tools/adrata-adrata-mcp/list-my-work-items.md
What list_my_work_items does on Adrata
AI agents call list_my_work_items 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.
Why list_my_work_items is rated Low
Even though list_my_work_items 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.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
The rule that runs list_my_work_items 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_my_work_items, this is the rule to start with:
list_my_work_items is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Adrata, apply this rule, and every list_my_work_items call is checked against it from then on.
Questions about list_my_work_items
The cards that are YOURS, across every board in the workspace, ordered the way a developer actually picks: parked cards last (Deep backlog is where work was deliberately shelved, and offering it back argues with whoever parked it), then escalated first (the top band of each card. It is categorised as a Read tool in the Adrata MCP Server, which means it retrieves data without modifying state.
Register the Adrata MCP server in PolicyLayer and add a rule for list_my_work_items: 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.
list_my_work_items is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_my_work_items 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 list_my_work_items. 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.
list_my_work_items 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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