Skip to main content
Glama
Sign In
Algorand MCP

Algorand MCP

by GoPlausible
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

encode_uint64

Convert uint64 values to bytes for Algorand blockchain transactions, supporting mainnet, testnet, and localnet networks.

Instructions

Encode a uint64 to bytes

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": {
      "value": "<value>"
    },
    "name": "encode_uint64"
  }
}

Input Schema

NameRequiredDescriptionDefault
valueYesUint64 value as a string to encode into bytes
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?

No annotations are provided, so the description carries full burden for behavioral disclosure. It states the core function but lacks critical details: whether this is a read-only operation, what permissions are needed, how errors are handled, or what the output format looks like (e.g., byte array encoding). For a tool with no annotation coverage, this is insufficient.

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—a single sentence with zero wasted words. It's front-loaded with the core purpose and uses clear terminology. Every word earns its place, making it easy to parse quickly.

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 and output schema, the description is incomplete. It doesn't explain the tool's role in the broader Algorand ecosystem (e.g., why uint64 encoding is needed), what the output looks like, or how errors are handled. For a tool with three parameters and no structured behavioral hints, more context is required.

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 fully documents all three parameters. The description adds no parameter-specific information beyond what's in the schema. It doesn't explain why 'network' or 'itemsPerPage' are relevant for a uint64 encoding operation, leaving semantic gaps despite the schema's technical completeness.

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 tool's purpose: 'Encode a uint64 to bytes'. It specifies the verb ('encode') and resource ('uint64'), making the function unambiguous. However, it doesn't differentiate from sibling tools like 'bigint_to_bytes' or 'encode_address', which perform similar encoding operations on different data types.

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. There's no mention of sibling tools like 'bigint_to_bytes' for other integer types or 'encode_address' for address encoding, nor does it specify prerequisites or typical use cases for uint64 encoding in the Algorand context.

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

Deploy Server

Other Tools