get_shared_context

SERVERTodo for AI MCP Server SOURCEtodo-for-ai/todo-for-ai-mcp

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/todo-for-ai-todo-for-ai-mcp/get-shared-context.md

WHAT IT DOES

What get_shared_context does on Todo for AI MCP Server

AI agents call get_shared_context to retrieve information from Todo for AI 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 get_shared_context is rated Low

Even though get_shared_context only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Risk signalsBulk/mass operation — affects multiple targets

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs get_shared_context safely

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

get_shared_context Allowed

get_shared_context 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": {
    "get_shared_context": {}
  }
}

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

The button opens the PolicyLayer dashboard: create your workspace, connect Todo for AI MCP Server, apply this rule, and every get_shared_context call is checked against it from then on.

FAQ

Questions about get_shared_context

What does the get_shared_context tool do? +

Read shared context entries for a task. Agents use the shared context to persist intermediate results, references, scratch notes, or structured data that other Agents need. If key is provided, only the matching entry is returned; otherwise all entries are returned. It is categorised as a Read tool in the Todo for AI MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_shared_context? +

Register the Todo for AI MCP Server MCP server in PolicyLayer and add a rule for get_shared_context: 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 Todo for AI MCP Server. Nothing to install.

What risk level is get_shared_context? +

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

Can I rate-limit get_shared_context? +

Yes. Add a rate_limit block to the get_shared_context 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_shared_context completely? +

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

get_shared_context is provided by the Todo for AI MCP Server MCP server (todo-for-ai/todo-for-ai-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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