Low Risk

list_decisions

List all data model decisions (D00-D37+) with their status and summary.

Bulk/mass operation — affects multiple targets

Part of the Valets Schema MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

AI agents call list_decisions to retrieve information from Valets Schema without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though list_decisions only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

valets-schema.yaml
tools:
  list_decisions:
    rules:
      - action: allow

See the full Valets Schema policy for all 7 tools.

Tool Name list_decisions
Category Read
Risk Level Low

Agents calling read-class tools like list_decisions have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.

What does the list_decisions tool do? +

List all data model decisions (D00-D37+) with their status and summary.. It is categorised as a Read tool in the Valets Schema MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_decisions? +

Add a rule in your Intercept YAML policy under the tools section for list_decisions. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Valets Schema MCP server.

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 Intercept 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 Intercept 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 Valets Schema MCP server (@ingenx-io/valets-schema-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Valets Schema

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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