# dcl_evaluate_signal

POST-ACTION Market Signal Fabrication Screen ($0.03). Pattern-based heuristic on the output text alone (no source price feed) — flags guaranteed-price-prediction language ("will definitely hit $X"), absolute-certainty claims ("100% certain", "cannot go down"), a fabricated-price flag when a specific dollar figure co-occurs with a guaranteed-outcome claim, and an invented-token flag when a "$TICKER" cashtag doesn't match a small set of well-known symbols (false positives are possible for legitimate lesser-known tickers — this is a heuristic pre-check, not ground truth). For a full claim-by-claim check against an actual price-feed snapshot, use the local grounding workflow instead of this live tool. Verdict/confidence collapsing follows the same rule as dcl_evaluate_mev: any critical finding or 2+ major findings is a hard NO_COMMIT; exactly one major finding is a softer NO_COMMIT at ~0.55 confidence.

Agent View of the PolicyLayer registry record for `dcl_evaluate_signal`. HTML page: https://policylayer.com/tools/com-fronesislabs-dcl-trust-oracle/dcl-evaluate-signal

## Facts

- Tool: `dcl_evaluate_signal`
- Server: Dcl Trust Oracle (`https://mcp.fronesislabs.com/mcp`) — https://policylayer.com/tools/com-fronesislabs-dcl-trust-oracle.md
- Homepage: https://github.com/Fronesis-Labs/dcl-webhook
- Risk category: Write (Medium risk)
- Registry record: grade F, identity unverified
- Server auth posture: open
- Server rate-limited: no
- Parameters: 2 (2 required)
- Recommended policy verdict: Rate-limited

## Parameters

| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
| `agent_id` | string | yes | Identifier of the agent that produced the response. |
| `response` | string | yes | The market signal, analysis, or price-prediction text to screen. |

Parameters from the server's own tool schema.

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

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "dcl_evaluate_signal",
    "arguments": {
      "agent_id": "<agent_id>",
      "response": "<response>"
    }
  }
}
```

## Why dcl_evaluate_signal is rated Medium

An AI agent can call dcl_evaluate_signal faster than any human can review: one bad instruction and it creates or modifies resources in Dcl Trust Oracle by the hundred, each call as confident as the last.

## Use case

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

## Recommended policy (PolicyLayer)

Verdict: **Rate-limited**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Dcl Trust Oracle:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "dcl_evaluate_signal": {
      "limits": [
        {
          "counter": "dcl_evaluate_signal_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}
```

## Other tools on Dcl Trust Oracle (17)

- `dcl_evaluate_strict` — Destructive — https://policylayer.com/tools/com-fronesislabs-dcl-trust-oracle/dcl-evaluate-strict.md
- `dcl_evaluate_jailbreak_crypto` — Execute — https://policylayer.com/tools/com-fronesislabs-dcl-trust-oracle/dcl-evaluate-jailbreak-crypto.md
- `dcl_evaluate_output_sanitizer` — Execute — https://policylayer.com/tools/com-fronesislabs-dcl-trust-oracle/dcl-evaluate-output-sanitizer.md
- `dcl_pipeline_start` — Execute — https://policylayer.com/tools/com-fronesislabs-dcl-trust-oracle/dcl-pipeline-start.md
- `dcl_evaluate_trade` — Financial — https://policylayer.com/tools/com-fronesislabs-dcl-trust-oracle/dcl-evaluate-trade.md
- `dcl_audit_decode` — Read — https://policylayer.com/tools/com-fronesislabs-dcl-trust-oracle/dcl-audit-decode.md
- `dcl_audit_decode_deep` — Read — https://policylayer.com/tools/com-fronesislabs-dcl-trust-oracle/dcl-audit-decode-deep.md
- `dcl_evaluate_batch` — Read — https://policylayer.com/tools/com-fronesislabs-dcl-trust-oracle/dcl-evaluate-batch.md
- `dcl_evaluate_fast` — Read — https://policylayer.com/tools/com-fronesislabs-dcl-trust-oracle/dcl-evaluate-fast.md
- `dcl_evaluate_jailbreak` — Read — https://policylayer.com/tools/com-fronesislabs-dcl-trust-oracle/dcl-evaluate-jailbreak.md
- `dcl_evaluate_mev` — Read — https://policylayer.com/tools/com-fronesislabs-dcl-trust-oracle/dcl-evaluate-mev.md
- `dcl_evaluate_pii` — Read — https://policylayer.com/tools/com-fronesislabs-dcl-trust-oracle/dcl-evaluate-pii.md
- `dcl_evaluate_quality` — Read — https://policylayer.com/tools/com-fronesislabs-dcl-trust-oracle/dcl-evaluate-quality.md
- `dcl_evaluate_safety` — Read — https://policylayer.com/tools/com-fronesislabs-dcl-trust-oracle/dcl-evaluate-safety.md
- `dcl_evaluate_secrets` — Read — https://policylayer.com/tools/com-fronesislabs-dcl-trust-oracle/dcl-evaluate-secrets.md
- `dcl_evaluate_wallet` — Read — https://policylayer.com/tools/com-fronesislabs-dcl-trust-oracle/dcl-evaluate-wallet.md
- `dcl_commit` — Write — https://policylayer.com/tools/com-fronesislabs-dcl-trust-oracle/dcl-commit.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=com-fronesislabs-dcl-trust-oracle · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/com-fronesislabs-dcl-trust-oracle