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Trust Chain MCP

Trust Chain MCP

by CSOAI-ORG
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

get_trust_score

Calculate a composite trust score for an anchor based on its attestations to evaluate trustworthiness in a trust chain.

Instructions

Calculate a composite trust score for an anchor based on its attestations.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "anchor_id": "<anchor_id>"
    },
    "name": "get_trust_score"
  }
}

Input Schema

NameRequiredDescriptionDefault
anchor_idYes
api_keyNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.8/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must disclose behavioral traits. It only states that the tool calculates a score, without mentioning whether it is read-only, authorization needs (api_key is optional but not explained), or any side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no waste. However, it is extremely minimal and could benefit from more structure, such as separating purpose from usage notes.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of annotations, an output schema, and the presence of sibling tools, the description is incomplete. It does not explain what the trust score output looks like, nor any preconditions or behavior beyond the basic calculation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description adds no meaning beyond the schema. It does not explain the role of 'anchor_id' or 'api_key', leaving the agent without guidance on how to supply parameters correctly.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb 'Calculate' and clearly identifies the resource 'composite trust score for an anchor based on its attestations.' This distinguishes it from sibling tools like add_attestation, create_trust_anchor, revoke_trust, and verify_chain, which have different purposes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool versus alternatives. There is no mention of prerequisites, when-not to use, or context that helps an agent decide between this and siblings like verify_chain.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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