crow_data_case_study_create

Create a case study with text, chart, or map sections. Case studies can be published to the Crow blog.

SERVERCrow SOURCEkh0pper/crow

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/kh0pper-crow/crow-data-case-study-create.md

WHAT IT DOES

What crow_data_case_study_create does on Crow

AI agents use crow_data_case_study_create to create or update resources in Crow, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Crow environment.

RISK

Why crow_data_case_study_create is rated Medium

This tool creates new content (a case study) and can publish it to a public blog, which is a reversible write operation. The publish-to-blog aspect increases severity slightly as it may expose content publicly, but it remains a Write category action since it creates/modifies data rather than executing code, handling finances, or irreversibly destroying data.

From the tool's definition Create a case study with text, chart, or map sections. Case studies can be published to the Crow blog.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs crow_data_case_study_create safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Crow, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For crow_data_case_study_create, this is the rule to start with:

crow_data_case_study_create Rate-limited

crow_data_case_study_create stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "crow_data_case_study_create": {
      "limits": [
        {
          "counter": "crow_data_case_study_create_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Crow, apply this rule, and every crow_data_case_study_create call is checked against it from then on.

FAQ

Questions about crow_data_case_study_create

What does the crow_data_case_study_create tool do? +

Create a case study with text, chart, or map sections. Case studies can be published to the Crow blog. It is categorised as a Write tool in the Crow MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on crow_data_case_study_create? +

Register the Crow MCP server in PolicyLayer and add a rule for crow_data_case_study_create: 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 Crow. Nothing to install.

What risk level is crow_data_case_study_create? +

crow_data_case_study_create is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit crow_data_case_study_create? +

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

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

crow_data_case_study_create is provided by the Crow MCP server (kh0pper/crow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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