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MolTrust MCP Server

moltrust_register

Register a new AI agent on MolTrust.

Creates a decentralised identity (DID), issues a W3C Verifiable Credential,
and anchors the agent on the Base blockchain.

Args:
    display_name: Agent name (1-64 chars, alphanumeric/dash/underscore/dot/space)
    platform: Platform identifier (e.g. "openai", "langchain", "custom")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
platformYes
display_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations provided, the description carries the full transparency burden, and it delivers: it discloses the side effects of the operation (DID creation, VC issuance, on-chain anchoring on Base), which signals a mutating, blockchain-writing action. This goes well beyond the tool name and schema. Minor gaps remain — no mention of gas costs, irreversibility, or duplicate-registration behavior — but the core behavioral profile is honestly and usefully disclosed.

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

Conciseness5/5

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

The description is five compact lines with zero fluff: a front-loaded action line, a brief process paragraph that earns its place by explaining the mechanics, and a clean Args block that maps directly to the two parameters. No sentence is redundant or decorative.

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

Completeness4/5

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

The tool is fully specified for its 2-param surface, an output schema exists (so return values need no explanation), and the behavioral steps are disclosed. The only genuine omissions are operational concerns for a blockchain-anchoring action — whether it incurs gas costs, requires a wallet/credits, or fails on duplicate registration — which an agent might need to avoid surprises. These are secondary, not crippling, given how well the core semantics are covered.

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

Parameters5/5

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

Schema description coverage is 0%, so the bare schema offers only titles, leaving the description to carry all meaning. The Args block fully compensates: display_name gains a length range and allowed character set (1-64 chars, alphanumeric/dash/underscore/dot/space), and platform gains concrete examples ('openai', 'langchain', 'custom'). This is exactly the kind of semantic enrichment that makes correct invocation possible.

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 opens with a specific verb+resource ('Register a new AI agent on MolTrust') and expands into the concrete multi-step behavior: creating a DID, issuing a W3C Verifiable Credential, and anchoring on the Base blockchain. This clearly separates it from credential-issue siblings like moltguard_credential_issue or mt_issue_badge, which lack the registration/DID creation framing. The blockchain anchor detail makes the tool's identity unmistakable.

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

Usage Guidelines3/5

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

The first line implies the usage context — this is the tool for registering a new AI agent — but nothing is said about when to prefer it over the many issuing/verifying siblings, nor any exclusions or prerequisites. In a 51-tool suite dense with credential tools (moltguard_credential_issue, moltrust_credential, mt_shopping_issue_vc), an explicit pointer to alternatives would materially help. The usage is clear by implication, not by guidance.

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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