High Risk →

execute_step_from_research_plan

Query the multiple tools to answer a question about the St. Louis Federal Reserve Economic Database (FRED). You should use the research plan from the get_research_plan tool before issuing calls to this tool. Only issue questions to this tool that are the in service of the research plan given by t...

Accepts freeform code/query input (query)

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

sourabh/timeslope Execute Risk 4/5

AI agents invoke execute_step_from_research_plan to trigger processes or run actions in Timeslope. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

execute_step_from_research_plan can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

sourabh-timeslope.yaml
tools:
  execute_step_from_research_plan:
    rules:
      - action: allow
        rate_limit:
          max: 10
          window: 60
        validate:
          required_args: true

See the full Timeslope policy for all 2 tools.

Tool Name execute_step_from_research_plan
Category Execute
Risk Level High

Agents calling execute-class tools like execute_step_from_research_plan 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 Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

execute_step_from_research_plan is one of the high-risk operations in Timeslope. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.

What does the execute_step_from_research_plan tool do? +

Query the multiple tools to answer a question about the St. Louis Federal Reserve Economic Database (FRED). You should use the research plan from the get_research_plan tool before issuing calls to this tool. Only issue questions to this tool that are the in service of the research plan given by the get_research_plan tool.. It is categorised as a Execute tool in the Timeslope MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on execute_step_from_research_plan? +

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

What risk level is execute_step_from_research_plan? +

execute_step_from_research_plan is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit execute_step_from_research_plan? +

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

Set action: deny in the Intercept policy for execute_step_from_research_plan. 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 execute_step_from_research_plan? +

execute_step_from_research_plan is provided by the Timeslope MCP server (sourabh/timeslope). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Timeslope

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
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