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Algorand MCP

Algorand MCP

by GoPlausible
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TypeScript
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api_indexer_lookup_application_box

Retrieve application box data by name and ID on the Algorand blockchain to access stored information for smart contracts.

Instructions

Get application box by name

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": {
      "appId": "<appId>",
      "boxName": "<boxName>"
    },
    "name": "api_indexer_lookup_application_box"
  }
}

Input Schema

NameRequiredDescriptionDefault
appIdYesApplication ID
boxNameYesBox name Buffer
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

C2.7/5.0
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 'Get' implying a read operation, but doesn't disclose behavioral traits like authentication needs, rate limits, error conditions, or what 'lookup' entails versus 'get'. For a tool with no annotations, this is insufficient to inform safe usage.

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—'Get application box by name' is front-loaded and appropriately sized for its purpose, earning its place without unnecessary elaboration.

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 no annotations and no output schema, the description is incomplete. It lacks context on what an 'application box' is, how it differs from similar tools, and what the return value includes. For a lookup tool in a complex ecosystem with many siblings, this leaves significant gaps for an agent.

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 parameters are well-documented in the schema. The description adds no additional meaning beyond implying 'boxName' is used for lookup, which is already clear from the schema. Baseline 3 is appropriate as the schema does the heavy lifting.

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

Purpose3/5

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

The description 'Get application box by name' clearly states the action (Get) and resource (application box), but it's vague about what an 'application box' is in this context. It doesn't distinguish this tool from its sibling 'api_indexer_lookup_application_boxes' (plural) or 'api_algod_get_application_box', leaving ambiguity about when to use each.

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. With multiple similar tools in the sibling list (e.g., 'api_indexer_lookup_application_boxes', 'api_algod_get_application_box'), the description offers no context about differences, prerequisites, or specific use cases, leaving the agent to guess.

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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