context_compact

Local line dedupe retaining errors; not upstream Headroom / ضغط محلي

SERVERHamza Agent Hub 252 SOURCEhamzachallenge3-dev/hamza-agent-hub-252

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/hamza-agent-hub-252/context-compact.md

WHAT IT DOES

What context_compact does on Hamza Agent Hub 252

AI agents call context_compact to retrieve information from Hamza Agent Hub 252 without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why context_compact is rated Low

Even though context_compact 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.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs context_compact safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Hamza Agent Hub 252, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For context_compact, this is the rule to start with:

context_compact Allowed

context_compact 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": {
    "context_compact": {}
  }
}

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

The button opens the PolicyLayer dashboard: create your workspace, connect Hamza Agent Hub 252, apply this rule, and every context_compact call is checked against it from then on.

FAQ

Questions about context_compact

What does the context_compact tool do? +

Local line dedupe retaining errors; not upstream Headroom / ضغط محلي. It is categorised as a Read tool in the Hamza Agent Hub 252 MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on context_compact? +

Register the Hamza Agent Hub 252 MCP server in PolicyLayer and add a rule for context_compact: 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 Hamza Agent Hub 252. Nothing to install.

What risk level is context_compact? +

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

Can I rate-limit context_compact? +

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

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

context_compact is provided by the Hamza Agent Hub 252 MCP server (hamzachallenge3-dev/hamza-agent-hub-252). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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