Skip to main content
Glama

batch-kimi

Destructive

Delegate multiple atomic tasks to Kimi for batch processing. Handles repetitive operations, mass refactoring, and automated transformations.

Instructions

Delegate multiple atomic tasks to Kimi for batch processing. Ideal for repetitive operations, mass refactoring, and automated transformations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yoloNoAuto-approve everything (typical for batch jobs)
modelNoOptional model override applied to every task. Known: kimi-for-coding, kimi-k2-6, kimi-k2-6-turbo, kimi-k2-thinking-turbo, kimi-k2-5, kimi-latest.
tasksYesArray of atomic tasks to delegate to Kimi
timeoutNoMaximum execution time per task in milliseconds
parallelNoExecute independent tasks in parallel
workingDirNoWorking directory for execution
concurrencyNoMaximum parallel Kimi processes when parallel=true. Default: min(task count, 4)
stopOnErrorNoStop execution if any task fails

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
totalYes
failedYes
resultsYes
skippedYes
successfulYes
Behavior3/5

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

Annotations already declare destructiveHint=true and openWorldHint=true. Description provides no additional behavioral details beyond the tool's batch nature. No contradiction.

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?

Two concise sentences: first states purpose, second lists use cases. No redundant or extraneous information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 8 parameters and output schema, description covers core purpose. Could mention task atomicity or dependency handling for better completeness, but adequate.

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?

100% schema coverage means parameters are fully described in the schema. The main description adds no parameter-specific meaning beyond what the schema provides. Baseline 3 applies.

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?

Verbs 'Delegate multiple atomic tasks' clearly states action. 'to Kimi for batch processing' identifies resource and mode. Contrasts with sibling tools like ask-kimi (single) and brainstorm, making purpose distinct.

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?

Identifies ideal scenarios: repetitive operations, mass refactoring, automated transformations. No explicit when-not-to-use or alternatives, but the use cases imply batch nature vs. single-task siblings.

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/x51xxx/kimi-mcp-server'

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