deeptrace_ingest_evidence

Ingest a piece of evidence (article, filing, data point) into the evidence store. Returns a content-addressed chunk ID that can be referenced in receipts and evidence packs.

SERVERNodebench SOURCEnodebench-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-homenshum-nodebench/deeptrace-ingest-evidence.md

WHAT IT DOES

What deeptrace_ingest_evidence does on Nodebench

AI agents use deeptrace_ingest_evidence to create or update resources in Nodebench, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Nodebench environment.

RISK

Why deeptrace_ingest_evidence is rated Medium

The tool writes new data (evidence items) into a persistent store and returns a reference ID. This is a reversible write operation—it creates new records without deleting or overwriting existing data. No code execution, financial action, or destructive behavior is indicated.

From the tool's definition Ingest a piece of evidence (article, filing, data point) into the evidence store. Returns a content-addressed chunk ID

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs deeptrace_ingest_evidence 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 deeptrace_ingest_evidence, this is the rule to start with:

deeptrace_ingest_evidence Rate-limited

deeptrace_ingest_evidence stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "deeptrace_ingest_evidence": {
      "limits": [
        {
          "counter": "deeptrace_ingest_evidence_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about deeptrace_ingest_evidence

What does the deeptrace_ingest_evidence tool do? +

Ingest a piece of evidence (article, filing, data point) into the evidence store. Returns a content-addressed chunk ID that can be referenced in receipts and evidence packs. It is categorised as a Write tool in the Nodebench MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on deeptrace_ingest_evidence? +

Register the Nodebench MCP server in PolicyLayer and add a rule for deeptrace_ingest_evidence: 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 deeptrace_ingest_evidence? +

deeptrace_ingest_evidence is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit deeptrace_ingest_evidence? +

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

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

deeptrace_ingest_evidence 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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