wavexis_perf_heap_snapshot

Capture a heap snapshot.

SERVERPypi:wavexis SOURCEMathiasPaulenko/wavexis-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/wavexis-mcp/wavexis-perf-heap-snapshot.md

WHAT IT DOES

What wavexis_perf_heap_snapshot does on Pypi:wavexis

AI agents call wavexis_perf_heap_snapshot to retrieve information from Pypi:wavexis without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why wavexis_perf_heap_snapshot is rated Low

A heap snapshot captures the current state of memory for diagnostic purposes. It is a read/observational operation with no side effects on application data. However, it can be resource-intensive and may expose sensitive in-memory data, warranting a medium severity rating. The description is brief but sufficient to classify as Read.

From the tool's definition 'Capture a heap snapshot' — this retrieves memory/heap state data without modifying it

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs wavexis_perf_heap_snapshot safely

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

wavexis_perf_heap_snapshot Allowed

wavexis_perf_heap_snapshot 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": {
    "wavexis_perf_heap_snapshot": {}
  }
}

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

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

FAQ

Questions about wavexis_perf_heap_snapshot

What does the wavexis_perf_heap_snapshot tool do? +

Capture a heap snapshot. It is categorised as a Read tool in the Pypi:wavexis MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on wavexis_perf_heap_snapshot? +

Register the Pypi:wavexis MCP server in PolicyLayer and add a rule for wavexis_perf_heap_snapshot: 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 Pypi:wavexis. Nothing to install.

What risk level is wavexis_perf_heap_snapshot? +

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

Can I rate-limit wavexis_perf_heap_snapshot? +

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

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

wavexis_perf_heap_snapshot is provided by the Pypi:wavexis MCP server (MathiasPaulenko/wavexis-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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