dcl_evaluate_signal

SERVERDcl Trust Oracle SOURCEhttps://mcp.fronesislabs.com/mcp

Medium RISK CLASS

Category Write

Parameters 22 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/com-fronesislabs-dcl-trust-oracle/dcl-evaluate-signal.md

WHAT IT DOES

What dcl_evaluate_signal does on Dcl Trust Oracle

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.

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.

RISK

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.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs dcl_evaluate_signal safely

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

dcl_evaluate_signal Rate-limited

dcl_evaluate_signal 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": {
    "dcl_evaluate_signal": {
      "limits": [
        {
          "counter": "dcl_evaluate_signal_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 Dcl Trust Oracle, apply this rule, and every dcl_evaluate_signal call is checked against it from then on.

FAQ

Questions about dcl_evaluate_signal

What does the dcl_evaluate_signal tool do? +

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. It is categorised as a Write tool in the Dcl Trust Oracle MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does dcl_evaluate_signal accept? +

dcl_evaluate_signal accepts 2 parameters: agent_id, response. Required: agent_id, response. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on dcl_evaluate_signal? +

Register the Dcl Trust Oracle MCP server in PolicyLayer and add a rule for dcl_evaluate_signal: 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 Dcl Trust Oracle. Nothing to install.

What risk level is dcl_evaluate_signal? +

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

Can I rate-limit dcl_evaluate_signal? +

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

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

dcl_evaluate_signal is provided by the Dcl Trust Oracle MCP server (https://mcp.fronesislabs.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Dcl Trust Oracle, and thousands of servers like it.

This server

All 18 Dcl Trust Oracle tools →

Across the catalogue

The MCP Attack Database →

Guides

Govern customer-ops agents →Argument validation →Scoped token →