Skip to main content
Glama

moltrust_verify

Verify AI agent identity by DID to check registration status and retrieve trust cards showing reputation, credentials, and blockchain anchors.

Instructions

Verify an AI agent by its DID.

Checks whether the DID is registered and returns verification status along with the agent's trust card (reputation, credentials, blockchain anchor).

Args: did: Decentralised identifier (e.g. "did:moltrust:a1b2c3d4e5f60718")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
didYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Describes return value composition (trust card with reputation/credentials/anchor) but lacks other behavioral traits like error conditions or rate limits since no annotations exist.

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?

Front-loaded purpose statement, appropriately brief, though Args section is minimal.

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?

Adequate for single-parameter tool with output schema; preemptively describes return structure despite existence of output schema.

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

Parameters4/5

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

Effectively compensates for 0% schema description coverage by providing parameter semantics and concrete example format (did:moltrust:...).

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

Purpose4/5

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

Clear specific verb (verify) and resource (AI agent/DID), with distinguishing details about returning trust card data that differentiates it from sibling registration or credential tools.

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 explicit when/when-not guidance or comparisons to alternatives like moltrust_register or credential-specific verify tools.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/MoltyCel/mol-trust'

If you have feedback or need assistance with the MCP directory API, please join our Discord server