Low Risk

get_project_status

Get the current status of a project including recent activity. You can use either the project name or ID.

Part of the ContextLayer server.

get_project_status is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call get_project_status to retrieve information from ContextLayer 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 get_project_status 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.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_project_status": {}
  }
}

See the full ContextLayer policy for all 62 tools.

Get this rule live on your own ContextLayer server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access get_project_status gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so get_project_status only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the get_project_status tool do? +

Get the current status of a project including recent activity. You can use either the project name or ID.. It is categorised as a Read tool in the ContextLayer MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_project_status? +

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

What risk level is get_project_status? +

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

Can I rate-limit get_project_status? +

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

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

get_project_status is provided by the ContextLayer MCP server (https://api.dotnova.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every ContextLayer tool call.

Deterministic rules across all 62 ContextLayer tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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