Low Risk

get_working_context

v3.1.0 M2: Compact markdown rendering of the top working-memory

How to control get_working_context ↓

What get_working_context does on Codevira MCP

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

Low Risk

Why get_working_context needs a policy

This tool retrieves and renders existing working-memory state in markdown format. It performs a query/read operation on persistent context without side effects, reversible changes, code execution, data destruction, or financial impact. The 'get' prefix and 'rendering' language confirm read-only semantics.

From the tool's definition Tool name 'get_working_context' and description 'Compact markdown rendering of the top working-memory' indicate retrieval of cached context data with no modification, deletion, or execution capabilities.

Documented attack patterns abuse exactly the kind of access get_working_context gives an agent:

How to control get_working_context

PolicyLayer is an MCP gateway — it sits between your AI agents and Codevira MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for get_working_context:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_working_context": {}
  }
}

get_working_context is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Codevira MCP — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about get_working_context

What does the get_working_context tool do? +

v3.1.0 M2: Compact markdown rendering of the top working-memory. It is categorised as a Read tool in the Codevira MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_working_context? +

Register the Codevira MCP server in PolicyLayer and add a rule for get_working_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 Codevira MCP. Nothing to install.

What risk level is get_working_context? +

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

Can I rate-limit get_working_context? +

Yes. Add a rate_limit block to the get_working_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_working_context completely? +

Set action: deny in the PolicyLayer policy for get_working_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_working_context? +

get_working_context is provided by the Codevira MCP server (sachinshelke/codevira). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Codevira MCP tool call.

Start from Codevira MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

48 Codevira MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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