learn_from_my_corpus

Offline companion to

SERVERtdmcp — TouchDesigner MCP server SOURCE@dpantani/tdmcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-pantani-tdmcp/learn-from-my-corpus.md

WHAT IT DOES

What learn_from_my_corpus does on tdmcp — TouchDesigner MCP server

AI agents call learn_from_my_corpus to retrieve information from tdmcp — TouchDesigner MCP server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why learn_from_my_corpus is rated Low

The description is incomplete and uninformative, making classification uncertain. The name suggests reading/indexing a corpus of data for learning purposes, which is most consistent with a Read operation. No evidence of write, execute, destructive, or financial operations. Confidence is low due to the truncated description.

From the tool's definition Tool name 'learn_from_my_corpus' and description 'Offline companion to' (truncated/uninformative)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs learn_from_my_corpus safely

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

learn_from_my_corpus Allowed

learn_from_my_corpus is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "learn_from_my_corpus": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect tdmcp — TouchDesigner MCP server, apply this rule, and every learn_from_my_corpus call is checked against it from then on.

FAQ

Questions about learn_from_my_corpus

What does the learn_from_my_corpus tool do? +

Offline companion to. It is categorised as a Read tool in the tdmcp — TouchDesigner MCP server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on learn_from_my_corpus? +

Register the tdmcp — TouchDesigner MCP server MCP server in PolicyLayer and add a rule for learn_from_my_corpus: 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 tdmcp — TouchDesigner MCP server. Nothing to install.

What risk level is learn_from_my_corpus? +

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

Can I rate-limit learn_from_my_corpus? +

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

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

learn_from_my_corpus is provided by the tdmcp — TouchDesigner MCP server MCP server (@dpantani/tdmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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