Skip to main content
Glama
adityajoshi12

Hyperledger Fabric MCP Server

get_committed_chaincode

Retrieve the committed chaincode definition from a Hyperledger Fabric channel to verify deployment details and configuration.

Instructions

Get the committed chaincode definition on the channel

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chaincodeNameYesThe name of the chaincode to query
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 it's a 'Get' operation, implying read-only behavior, but lacks details on permissions, error handling, or response format. For a tool in a blockchain context with potential complexity, 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 a single, clear sentence with no wasted words, making it highly concise and front-loaded. It efficiently conveys the core purpose 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 the lack of annotations and output schema, and the tool's role in a complex blockchain environment, the description is too minimal. It doesn't address what 'committed chaincode definition' entails, potential outputs, or interaction nuances, leaving significant gaps for an AI 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%, with the parameter 'chaincodeName' fully documented in the schema. The description doesn't add any extra meaning beyond implying it queries a specific chaincode, so it meets the baseline but doesn't enhance parameter understanding.

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 action ('Get') and resource ('committed chaincode definition on the channel'), making the purpose understandable. However, it doesn't explicitly differentiate from siblings like 'get_approved_chaincode' or 'query_chaincode', which might have overlapping query functions, so it misses the highest score.

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. With siblings like 'get_approved_chaincode' and 'query_chaincode' available, there's no indication of specific contexts, prerequisites, or exclusions for this tool.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/adityajoshi12/fabric-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server