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Algorand MCP

Algorand MCP

by GoPlausible
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TypeScript
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api_algod_get_node_status_after_block

Retrieve Algorand node status information after a specific block round to monitor network state and verify transaction confirmations.

Instructions

Get node status after a specific round

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": {
      "round": "<round>"
    },
    "name": "api_algod_get_node_status_after_block"
  }
}

Input Schema

NameRequiredDescriptionDefault
roundYesRound number
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

B3.1/5.0
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. It states it's a read operation ('Get'), but doesn't disclose behavioral traits like rate limits, authentication needs, error conditions, or what 'node status' entails (e.g., health, metrics). For a tool with no annotations, this is a significant gap in transparency about how it behaves and what to expect.

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 with zero waste. It's front-loaded with the core action and condition, making it easy to parse. Every word earns its place, and there's no redundant or verbose language.

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

Completeness3/5

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

Given no annotations and no output schema, the description is minimal. It states the purpose but lacks context on behavior, output format, or usage relative to siblings. For a tool with 3 parameters and no structured metadata, it's adequate as a basic descriptor but incomplete for guiding an agent effectively without additional inference.

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 parameters (round, network, itemsPerPage). The description adds no additional meaning beyond implying the 'round' parameter's purpose. With high schema coverage, the baseline is 3, as the description doesn't compensate but doesn't detract either.

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 'Get node status after a specific round' clearly states the action (get) and resource (node status) with a specific condition (after a specific round). It distinguishes from the sibling tool 'api_algod_get_node_status' by specifying the temporal condition, though it doesn't explicitly contrast them. The purpose is unambiguous but could be more explicit about differentiation.

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 guidance is provided on when to use this tool versus alternatives like 'api_algod_get_node_status' or other status-related tools. The description implies usage for post-round status but offers no context about prerequisites, typical use cases, or exclusions. This leaves the agent to infer usage from the name alone.

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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