list_decisions

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-decisions.md

WHAT IT DOES

What list_decisions does on Adrata

AI agents call list_decisions 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_decisions is rated Low

Even though list_decisions 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_decisions 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_decisions, this is the rule to start with:

list_decisions Allowed

list_decisions 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_decisions": {}
  }
}

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_decisions call is checked against it from then on.

FAQ

Questions about list_decisions

What does the list_decisions tool do? +

List decisions — each with its status (proposed | discussing | decided | superseded | reversed), door (one_way = hard to reverse, two_way = cheap to reverse), audience, a positions tally {support, concern, object} and how many discussion posts it has. Pass targetType + targetId to see the decisions that shaped one goal, idea, scope, card or indicator. Reversals are new decisions, and one may replace several at once: read the supersedes edges (decision_graph, or the detail\. 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_decisions? +

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

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

Can I rate-limit list_decisions? +

Yes. Add a rate_limit block to the list_decisions 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_decisions completely? +

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

list_decisions 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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