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Algorand MCP

Algorand MCP

by GoPlausible
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TypeScript
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api_algod_get_pending_transactions

Retrieve pending transactions from the Algorand blockchain to monitor unconfirmed activity, with options for network selection and pagination.

Instructions

Get all pending transactions

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "api_algod_get_pending_transactions"
  }
}

Input Schema

NameRequiredDescriptionDefault
maxTxnsNoMaximum number of transactions to return
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 the full burden. It states 'Get all pending transactions', implying a read-only operation, but doesn't disclose behavioral traits like whether it's paginated (hinted by 'itemsPerPage' in schema but not described), rate limits, authentication needs, or what 'all' entails (e.g., network-wide). This leaves significant gaps for a tool with parameters.

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 all pending transactions'—front-loading the core action and resource. It's appropriately sized for a simple tool, though its brevity contributes to gaps in other dimensions.

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 doesn't explain return values (e.g., transaction format, pagination details), behavioral context (e.g., network defaults, error handling), or usage relative to siblings. For a tool with parameters and complex sibling relationships, this leaves the agent under-informed.

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 like 'maxTxns', 'network', and 'itemsPerPage'. The description adds no additional meaning beyond implying retrieval of transactions, which is already clear from the tool name and schema. This meets 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 verb 'Get' and resource 'all pending transactions', making the purpose specific and understandable. However, it doesn't differentiate from sibling tools like 'api_algod_get_pending_transaction' (singular) or 'api_algod_get_pending_transactions_by_address', leaving room for ambiguity about scope.

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 siblings like 'api_algod_get_pending_transaction' (singular) and 'api_algod_get_pending_transactions_by_address', the description lacks context on whether this tool is for bulk retrieval, unfiltered access, or specific use cases, offering no help in tool selection.

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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