get_trust_score

ServerAgentos
CategoryRead

WHAT IT DOES

What get_trust_score does on Agentos

AI agents call get_trust_score to retrieve information from Agentos without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

THE RISK

Low Risk

Why get_trust_score needs a policy

This tool retrieves and queries trust score data for an agent without producing side effects, modifying data, or executing external operations. It is a simple lookup/read operation that returns calculated metrics (competence, integrity, availability, predictability, transparency scores). No reversible or irreversible modifications occur.

From the tool's definition Tool description states 'Get a detailed trust score' and takes only a query parameter (agent_did) with no modification, deletion, or execution capabilities. The word 'Get' indicates a retrieval operation.

Documented attack patterns abuse exactly the kind of access get_trust_score gives an agent:

POLICY

How to control get_trust_score

PolicyLayer is an MCP gateway — it sits between your AI agents and Agentos, and nothing reaches the server without passing your rules. This is the rule we recommend for get_trust_score:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_trust_score": {}
  }
}

get_trust_score is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Agentos — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

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EXPLORE

Related tools and policies

More Agentos tools

Execute deploy_agent Deploy an agent to start execution. Deployment environments: - local: Runs on your machin Execute agt_policy_check_text Run AGT poisoning, MCP, and prompt-defense checks against arbitrary text. Execute establish_handshake Initiate a trust handshake with a peer agent. Creates a cryptographic challenge, reco Write attach_policy Attach safety policies to an agent. Policies enforce rules and constraints on agent behavi Write create_agent Create a new AI agent from a natural language description. The agent will be configured wi Write create_policy Create a custom policy from a natural language description. Policies define rules that ag Write record_interaction Record an interaction outcome to update trust scores. Valid outcomes: success, failur Write request_approval Request human approval for a sensitive agent action. Use this when: - Policy requires hum

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Read tools on other servers

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Go deeper

Roll out MCP under one policy → Per-person scoped tokens, one central policy, and full audit across every server your team connects.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →
PolicyLayer vs alternatives → How deterministic, per-call MCP policy compares with gateways, identity layers, and authorisation platforms.

FAQ

Questions about get_trust_score

What does the get_trust_score tool do? +

Get a detailed trust score with all 5 dimensions. Dimensions: competence, integrity, availability, predictability, transparency. Each dimension is scored 0-1000. Args: agent_did: The DID of the agent to query. It is categorised as a Read tool in the Agentos MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_trust_score? +

Register the Agentos MCP server in PolicyLayer and add a rule for get_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 Agentos. Nothing to install.

What risk level is get_trust_score? +

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

Can I rate-limit get_trust_score? +

Yes. Add a rate_limit block to the get_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 get_trust_score completely? +

Set action: deny in the PolicyLayer policy for get_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 get_trust_score? +

get_trust_score is provided by the Agentos MCP server (@microsoft/agentos-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 Agentos tool call.

Start from Agentos, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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18 Agentos tools catalogued and risk-classified — across an index of 43,000+ MCP servers.