list_indicators
List the indicators — each a named measure with its definition, unit, direction (up | down), kind (leading | lagging), target, the goal or strategy it measures, its LATEST reading and the derived status: no_reading | achieved | on_track | off_track | unknown_pace (a reading with no expected value...
This record as markdown: /tools/adrata-adrata-mcp/list-indicators.md
What list_indicators does on Adrata
AI agents call list_indicators 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_indicators is rated Low
Even though list_indicators 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
The rule that runs list_indicators 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_indicators, this is the rule to start with:
list_indicators 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_indicators call is checked against it from then on.
Questions about list_indicators
List the indicators — each a named measure with its definition, unit, direction (up | down), kind (leading | lagging), target, the goal or strategy it measures, its LATEST reading and the derived status: no_reading | achieved | on_track | off_track | unknown_pace (a reading with no expected value says nothing about pace). Narrow by goalId to see what measures one goal, or by audience. Status is derived, never stored, and there is no percentage. 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_indicators: 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_indicators 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_indicators 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_indicators. 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_indicators 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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