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schenkty

Keeta Network MCP Server

by schenkty

keeta_builder_execute

Execute batched blockchain operations using the Builder pattern to optimize on-chain transactions, then optionally compute and publish blocks.

Instructions

Execute a sequence of operations using the UserClient Builder pattern, then optionally compute and publish.

The builder batches multiple operations into blocks for efficient on-chain execution. Each operation in the "operations" array is an object with "method" and "args".

Use keeta_list_sdk_methods with target "Builder" to discover available methods.

Common builder methods: send, setInfo, modifyTokenSupply, modifyTokenBalance, computeBlocks, receive.

The tool will:

  1. Create a UserClient and initialize a builder

  2. Call each operation in sequence

  3. If autoPublish is true (default): call computeBlocks() then publish()

  4. Return all computed block hashes

Example operations: [ { "method": "setInfo", "args": [{ "name": "TKNA", "description": "My Token" }], "options": { "account": "keeta_..." } }, { "method": "modifyTokenSupply", "args": ["BIGINT:50000000000"], "options": { "account": "keeta_..." } }, { "method": "send", "args": ["keeta_recipient...", "BIGINT:1000000", "keeta_token..."] } ]

Arguments are auto-resolved (see keeta_client_execute for resolution rules). The "options" field in each operation is passed as the last argument (common for { account: tokenAddress }).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
networkYesNetwork to use
seedYesSeed of the account
accountIndexNoAccount derivation index
operationsYesSequence of builder operations
autoPublishNoAutomatically compute and publish blocks after all operations
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It explains the multi-step process (create client, call operations, optionally compute/publish) and mentions auto-resolving arguments, but lacks details on permissions, rate limits, error handling, or what happens if operations fail mid-sequence.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is appropriately sized and front-loaded with the core purpose. Each sentence adds value: explaining the builder pattern, referencing discovery tools, listing common methods, detailing the execution flow, providing examples, and clarifying argument resolution. Minor room for tightening exists in the example section.

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?

For a complex tool with 5 parameters, no annotations, and no output schema, the description is adequate but has gaps. It covers the execution flow and parameter semantics well, but lacks information about return values (only mentions 'block hashes' briefly), error conditions, and operational constraints that would help an agent use it safely.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description adds significant value by explaining the structure of operations objects (method, args, options), providing example operations, clarifying that 'options' is passed as the last argument, and noting auto-resolving behavior. This compensates well beyond the schema's technical documentation.

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

Purpose5/5

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

The description clearly states the tool executes a sequence of operations using the UserClient Builder pattern, with specific verbs ('execute', 'compute', 'publish') and resources ('operations', 'blocks'). It distinguishes from siblings like keeta_client_execute by focusing on the builder pattern for batching operations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context for when to use this tool (for batching multiple operations into blocks) and references keeta_list_sdk_methods for discovering available methods. However, it doesn't explicitly state when NOT to use it or compare it to alternatives like keeta_client_execute for single operations.

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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