list_stream_objects
Lists stream objects in a given stream. * Parent parameter is in the form 'projects/{project name}/locations/{location}/streams/{stream name}', for example: 'projects/my-project/locations/us-central1/streams/my-stream'. * Not all the details of the stream objects are returned. * To get the full d...
This record as markdown: /tools/com-googleapis-datastream-mcp/list-stream-objects.md
What list_stream_objects does on Mcp
AI agents call list_stream_objects to retrieve information from Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
parent | string | Yes | Required. The parent stream that owns the collection of objects. |
pageSize | integer | — | Optional. Maximum number of objects to return. Default is 50. The maximum value is 1000; values above 1000 will be coerced to 1000. |
pageToken | string | — | Optional. Page token received from a previous `ListStreamObjectsRequest` call. Provide this to retrieve the subsequent page. When paginating, all other paramete |
Parameters from the server's own tool schema.
Why list_stream_objects is rated Low
The tool performs a query operation that retrieves metadata about stream objects without side effects. It does not create, modify, delete, execute code, or trigger external operations. The parent parameter requirement indicates read-only resource navigation. This is a standard data retrieval function with minimal blast radius if misused.
From the tool's definition Tool description states it 'Lists stream objects in a given stream' and 'Not all the details of the stream objects are returned.' This is a listing/retrieval operation with no modification or execution of external operations.
Attacks that exploit this kind of access
The rule that runs list_stream_objects safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For list_stream_objects, this is the rule to start with:
list_stream_objects is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp, apply this rule, and every list_stream_objects call is checked against it from then on.
Questions about list_stream_objects
Lists stream objects in a given stream. * Parent parameter is in the form 'projects/{project name}/locations/{location}/streams/{stream name}', for example: 'projects/my-project/locations/us-central1/streams/my-stream'. * Not all the details of the stream objects are returned. * To get the full details of a specific stream object, use the 'get_stream_object' tool. It is categorised as a Read tool in the Mcp MCP Server, which means it retrieves data without modifying state.
list_stream_objects accepts 3 parameters: parent, pageSize, pageToken. Required: parent. The full parameter table on this page comes from the server's own tool schema.
Register the MCP server in PolicyLayer and add a rule for list_stream_objects: 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 Mcp. Nothing to install.
list_stream_objects is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_stream_objects 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.
Set action: deny in the PolicyLayer policy for list_stream_objects. 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.
list_stream_objects is provided by the MCP server (https://datastream.googleapis.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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