Medium Risk

gatri_trust_score

Compute GATRI trust score for an AI agent. Evaluates Governance, Accountability, Transparency, Robustness, and Inclusivity.

Part of the Vectordecisions server.

gatri_trust_score can modify Vectordecisions data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use gatri_trust_score to create or modify resources in Vectordecisions. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call gatri_trust_score repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Vectordecisions.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "gatri_trust_score": {
      "limits": [
        {
          "counter": "gatri_trust_score_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Vectordecisions policy for all 4 tools.

Get this rule live on your own Vectordecisions server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access gatri_trust_score gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so gatri_trust_score only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the gatri_trust_score tool do? +

Compute GATRI trust score for an AI agent. Evaluates Governance, Accountability, Transparency, Robustness, and Inclusivity.. It is categorised as a Write tool in the Vectordecisions MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on gatri_trust_score? +

Register the Vectordecisions MCP server in PolicyLayer and add a rule for gatri_trust_score: 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 Vectordecisions. Nothing to install.

What risk level is gatri_trust_score? +

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

Can I rate-limit gatri_trust_score? +

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

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

gatri_trust_score is provided by the Vectordecisions MCP server (vectordecisions-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Vectordecisions tool call.

Deterministic rules across all 4 Vectordecisions tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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