compress_context
Compress text using n-gram abbreviation with a legend for token-efficient context loading. Unlike format_with_salience_budget (which allocates token budget), this does text-level compression.
This record as markdown: /tools/danielsimonjr-memory-mcp/compress-context.md
What compress_context does on Enhanced Knowledge Graph Memory Server
AI agents call compress_context to retrieve information from Enhanced Knowledge Graph Memory Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why compress_context is rated Low
The tool reads input text and produces a compressed representation with a legend. This is a deterministic, side-effect-free transformation operation with no modification to persistent state, no code execution, and no destructive effects. It falls squarely under Read category as a data retrieval/transformation utility.
From the tool's definition Tool description states it 'compress[es] text using n-gram abbreviation with a legend' and performs 'text-level compression' for 'token-efficient context loading'. No data is created, modified, deleted, or executed—only text is transformed and returned.
Attacks that exploit this kind of access
The rule that runs compress_context safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Enhanced Knowledge Graph Memory Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For compress_context, this is the rule to start with:
compress_context is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Enhanced Knowledge Graph Memory Server, apply this rule, and every compress_context call is checked against it from then on.
Questions about compress_context
Compress text using n-gram abbreviation with a legend for token-efficient context loading. Unlike format_with_salience_budget (which allocates token budget), this does text-level compression. It is categorised as a Read tool in the Enhanced Knowledge Graph Memory Server MCP Server, which means it retrieves data without modifying state.
Register the Enhanced Knowledge Graph Memory Server MCP server in PolicyLayer and add a rule for compress_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 Enhanced Knowledge Graph Memory Server. Nothing to install.
compress_context is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the compress_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.
Set action: deny in the PolicyLayer policy for compress_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.
compress_context is provided by the Enhanced Knowledge Graph Memory Server MCP server (danielsimonjr/memory-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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