AgentStamp

get_verifiable_credential

Obtain a W3C Verifiable Credential (agent passport) for any AI agent using its wallet address. Returns a standard VC in Data Model 2.0 format that works with any verifier. Free to use.

Instructions

Get a W3C Verifiable Credential for an agent. Returns the agent passport in W3C VC Data Model 2.0 format, interoperable with any VC verifier. Free.

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": {
      "wallet_address": "<wallet_address>"
    },
    "name": "get_verifiable_credential"
  }
}

Input Schema

Name	Required	Description	Default
`wallet_address`	Yes	Agent wallet address (0x... or Solana base58)

Schema Changelog

Changes observed during successful MCP inspections.

Addedv2.1.2Mar 25, 2026

TDQS

B3.2/5.0

Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the output format and that the tool is 'Free', but it does not disclose whether the operation is read-only, requires authentication, or has any side effects. The 'get' verb implies read-only, but this is not explicitly stated.

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 extremely concise, consisting of two substantive sentences plus 'Free.' It front-loads the primary action and return format without fluff. Each clause contributes useful information, making it highly efficient and well-structured.

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?

For a simple one-parameter tool with no output schema, the description adequately covers the core purpose, return format, and interoperability. It does not mention any caveats, prerequisites, or error conditions, but given the simplicity and specificity of the tool, it is reasonably complete. The 'Free' note adds a minor extra context.

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

Parameters3/5

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

The schema fully describes the single parameter 'wallet_address' with a clear description ('Agent wallet address (0x... or Solana base58)'), achieving 100% schema coverage. The tool description adds no additional semantic detail about the parameter beyond what the schema already provides, meeting the baseline for high schema coverage.

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?

The description clearly states the action ('Get a W3C Verifiable Credential') and the resource ('for an agent'), and specifies the return format as W3C VC Data Model 2.0. It adds the interoperability detail, which helps distinguish it from potential sibling tools like 'get_passport', but it does not explicitly name or compare with alternatives.

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?

The description provides no guidance on when to use this tool versus alternatives such as 'get_passport' or 'verify_stamp'. It only describes the action and output without contextual usage instructions, prerequisites, or exclusions.

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