get_shared_context_peer

Fetch one peer and its current summary, capabilities, and scopes.

SERVERNodebench SOURCEnodebench-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/io-github-homenshum-nodebench/get-shared-context-peer.md

WHAT IT DOES

What get_shared_context_peer does on Nodebench

AI agents call get_shared_context_peer to retrieve information from Nodebench 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_peer is rated Low

This is a straightforward data retrieval operation. It queries and returns information about a peer entity, its summary, capabilities, and scopes. No data is created, modified, deleted, or executed. The 'Fetch' verb confirms read-only semantics.

From the tool's definition Tool name includes 'get_' and description states 'Fetch one peer' — retrieves data without modification. The description limits the action to fetching a peer's summary, capabilities, and scopes with no side effects.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs get_shared_context_peer safely

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

get_shared_context_peer Allowed

get_shared_context_peer 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_peer": {}
  }
}

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

The button opens the PolicyLayer dashboard: create your workspace, connect Nodebench, apply this rule, and every get_shared_context_peer call is checked against it from then on.

FAQ

Questions about get_shared_context_peer

What does the get_shared_context_peer tool do? +

Fetch one peer and its current summary, capabilities, and scopes. It is categorised as a Read tool in the Nodebench MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_shared_context_peer? +

Register the Nodebench MCP server in PolicyLayer and add a rule for get_shared_context_peer: 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 Nodebench. Nothing to install.

What risk level is get_shared_context_peer? +

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

Can I rate-limit get_shared_context_peer? +

Yes. Add a rate_limit block to the get_shared_context_peer 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_peer completely? +

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

get_shared_context_peer is provided by the Nodebench MCP server (nodebench-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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