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Algorand MCP

Algorand MCP

by GoPlausible
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

encode_address

Convert a hexadecimal public key into a valid Algorand address for mainnet, testnet, or localnet networks.

Instructions

Encode a public key to an Algorand address

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": {
      "publicKey": "<publicKey>"
    },
    "name": "encode_address"
  }
}

Input Schema

NameRequiredDescriptionDefault
publicKeyYesPublic key in hexadecimal format to encode into an address
networkNoAlgorand network to use (default: mainnet)
itemsPerPageNoNumber of items per page for paginated responses (default: 10)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv4.1.1

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states what the tool does but doesn't describe output format, error conditions, rate limits, or side effects. For a tool that performs encoding (potentially with network-specific behavior), this leaves significant gaps in understanding how it behaves.

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 a single, efficient sentence that states the core purpose without unnecessary words. It's appropriately sized for a straightforward encoding tool and gets directly to the point.

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?

For a tool with no annotations and no output schema, the description is insufficient. It doesn't explain what format the encoded address returns in, whether there are validation requirements for the public key, or how network selection affects the output. Given the complexity of cryptographic encoding and the lack of structured metadata, more descriptive context is needed.

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?

Schema description coverage is 100%, so the schema already documents all three parameters thoroughly. The description doesn't add any parameter-specific information beyond what's in the schema. This meets the baseline expectation when schema does the heavy lifting.

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 ('encode') and target resource ('public key to an Algorand address'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'decode_address' or 'validate_address' that also work with Algorand addresses, which prevents a perfect score.

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 like 'decode_address' or 'validate_address', nor does it mention prerequisites or typical use cases. It's a standalone statement without contextual usage information.

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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