batch_recall

Retrieve multiple memories by their IDs in a single batch operation.

Server ThoughtMCP keyurgolani/thoughtmcp
Category Read
Risk class Low
Parameters 00 required

What batch_recall does on ThoughtMCP

AI agents call batch_recall to retrieve information from ThoughtMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why batch_recall needs a policy

This tool retrieves stored memories by ID without modifying, deleting, or executing anything. It is analogous to a GET or SELECT query. The blast radius of misuse is minimal—worst case an agent reads data it shouldn't have access to, but no data is altered or destroyed. This is a straightforward Read classification.

From the tool's definition Tool name 'batch_recall' and description 'Retrieve multiple memories by their IDs in a single batch operation' indicate a retrieval operation with no side effects.

Questions about batch_recall

What does the batch_recall tool do? +

Retrieve multiple memories by their IDs in a single batch operation. It is categorised as a Read tool in the ThoughtMCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on batch_recall? +

Register the Thought MCP server in PolicyLayer and add a rule for batch_recall: 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 ThoughtMCP. Nothing to install.

What risk level is batch_recall? +

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

Can I rate-limit batch_recall? +

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

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

batch_recall is provided by the Thought MCP server (keyurgolani/thoughtmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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