Get the next chunk of the currently reading document. Continues from where the last chunk left off.
AI agents call get_next_chunk to retrieve information from Gemini Search MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool performs document pagination/navigation through existing content. It retrieves data ('get') without side effects, aligning with the Read category definition of queries and fetches. The chunked reading pattern is common for handling large documents. No write, delete, execute, or financial operations are possible.
From the tool's definition Tool name is 'get_next_chunk' and description states it 'Get[s] the next chunk of the currently reading document.' This is a retrieval operation that reads sequential portions of an already-open document without modifying, deleting, or executing anything.
Attacks that exploit this kind of access
Get the next chunk of the currently reading document. Continues from where the last chunk left off. It is categorised as a Read tool in the Gemini Search MCP MCP Server, which means it retrieves data without modifying state.
Register the Gemini Search MCP server in PolicyLayer and add a rule for get_next_chunk: 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 Gemini Search MCP. Nothing to install.
get_next_chunk 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 get_next_chunk 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 get_next_chunk. 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.
get_next_chunk is provided by the Gemini Search MCP server (mimiclab/geminisearchmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →