# performance.monitor_memory_usage

Track memory consumption patterns during execution

Agent View of the PolicyLayer registry record for `performance.monitor_memory_usage`. HTML page: https://policylayer.com/tools/jrmatherly-mcp-context-forge/performance.monitor-memory-usage

## Facts

- Tool: `performance.monitor_memory_usage`
- Server: ContextForge MCP Gateway (`jrmatherly/mcp-context-forge`) — https://policylayer.com/tools/jrmatherly-mcp-context-forge.md
- Homepage: https://github.com/jrmatherly/mcp-context-forge
- Risk category: Read (Low risk)
- Registry record: grade F, identity unverified
- Server rate-limited: no
- Parameters: 0
- Recommended policy verdict: Allowed

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "performance.monitor_memory_usage",
    "arguments": {}
  }
}
```

## Why performance.monitor_memory_usage is rated Low

This tool retrieves and queries memory consumption data as a monitoring/observability function. It has no side effects, does not execute code or commands, does not modify state, and does not involve financial operations. It fits squarely in the Read category as an informational/diagnostic capability. The blast radius of misuse is minimal—an AI agent could only extract performance telemetry, which presents low risk.

From the tool's own definition: "Tool name 'monitor_memory_usage' and description 'Track memory consumption patterns during execution' indicate passive observation/monitoring of system metrics with no modification, creation, deletion, or execution of external operations."

## Use case

AI agents call performance.monitor_memory_usage to retrieve information from ContextForge MCP Gateway without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

## Recommended policy (PolicyLayer)

Verdict: **Allowed**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches ContextForge MCP Gateway:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "performance.monitor_memory_usage": {}
  }
}
```

## Other tools on ContextForge MCP Gateway (220)

- `clear_cache` — Destructive — https://policylayer.com/tools/jrmatherly-mcp-context-forge/clear-cache.md
- `delete_slide` — Destructive — https://policylayer.com/tools/jrmatherly-mcp-context-forge/delete-slide.md
- `agent.benchmark_performance` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/agent.benchmark-performance.md
- `bitbucket_trigger_pipeline` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/bitbucket-trigger-pipeline.md
- `build_schedule` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/build-schedule.md
- `calculate_stats` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/calculate-stats.md
- `compile_document` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/compile-document.md
- `critical_path_analysis` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/critical-path-analysis.md
- `execute_code` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/execute-code.md
- `generate_qr_code` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/generate-qr-code.md
- `judge.rank_responses` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/judge.rank-responses.md
- `performance.evaluate_throughput_scaling` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/performance.evaluate-throughput-scaling.md
- `query_data` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/query-data.md
- `render_graph` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/render-graph.md
- `robustness.assess_distribution_shift` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/robustness.assess-distribution-shift.md
- `robustness.measure_input_sensitivity` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/robustness.measure-input-sensitivity.md
- `robustness.test_adversarial_inputs` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/robustness.test-adversarial-inputs.md
- `statistical_test` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/statistical-test.md
- `transform_data` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/transform-data.md
- `workflow.run_evaluation` — Execute — https://policylayer.com/tools/jrmatherly-mcp-context-forge/workflow.run-evaluation.md
- `agent.analyze_reasoning` — Read — https://policylayer.com/tools/jrmatherly-mcp-context-forge/agent.analyze-reasoning.md
- `agent.evaluate_tool_use` — Read — https://policylayer.com/tools/jrmatherly-mcp-context-forge/agent.evaluate-tool-use.md
- `agent.measure_task_completion` — Read — https://policylayer.com/tools/jrmatherly-mcp-context-forge/agent.measure-task-completion.md
- `analyze_code` — Read — https://policylayer.com/tools/jrmatherly-mcp-context-forge/analyze-code.md
- `analyze_csv` — Read — https://policylayer.com/tools/jrmatherly-mcp-context-forge/analyze-csv.md
- `analyze_dataset` — Read — https://policylayer.com/tools/jrmatherly-mcp-context-forge/analyze-dataset.md
- `analyze_document` — Read — https://policylayer.com/tools/jrmatherly-mcp-context-forge/analyze-document.md
- `analyze_feed` — Read — https://policylayer.com/tools/jrmatherly-mcp-context-forge/analyze-feed.md
- `analyze_graph` — Read — https://policylayer.com/tools/jrmatherly-mcp-context-forge/analyze-graph.md
- `analyze_text` — Read — https://policylayer.com/tools/jrmatherly-mcp-context-forge/analyze-text.md
- …and 190 more: https://policylayer.com/tools/jrmatherly-mcp-context-forge.md

## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=jrmatherly-mcp-context-forge · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/jrmatherly-mcp-context-forge
