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agentek-eth

agentek-eth

by NaniDAO
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

getTransactionInfo

Retrieve detailed blockchain transaction information by providing a transaction hash and chain ID to analyze transaction data across supported networks.

Instructions

Retrieve detailed information for a given transaction hash.

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": {
      "chain": "<chain>",
      "txhash": "<txhash>"
    },
    "name": "getTransactionInfo"
  }
}

Input Schema

NameRequiredDescriptionDefault
chainYesChain ID for the blockchain network. Supports: 1, 137, 42161, 10, and 8453
txhashYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

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 of behavioral disclosure. It states the tool retrieves information, implying a read-only operation, but does not specify if it requires authentication, has rate limits, what the return format is, or any error conditions. For a tool with no annotation coverage, this leaves significant gaps in understanding its behavior.

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 directly states the tool's purpose without unnecessary words. It is appropriately sized and front-loaded, with no wasted content.

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 complexity of retrieving transaction details, no annotations, no output schema, and only 50% schema description coverage, the description is incomplete. It lacks information on return values, error handling, and behavioral traits, making it inadequate for full contextual understanding.

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?

The schema description coverage is 50% (only 'chain' has a description), and the description does not add any details about parameters beyond what the schema provides. It mentions 'transaction hash' which aligns with the 'txhash' parameter but offers no additional semantics. With partial schema coverage, the description does not fully compensate, resulting in a baseline score.

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 ('Retrieve') and resource ('detailed information for a given transaction hash'), making the purpose specific and understandable. However, it does not explicitly differentiate from sibling tools like 'getTransaction', 'getTransactionReceipt', or 'getTransactionSummary', which likely serve similar but distinct purposes.

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 such as 'getTransaction' or 'getTransactionReceipt', nor does it mention any prerequisites or context for usage. It lacks explicit when-to-use or when-not-to-use instructions.

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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