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oni-chan69

kimi-code-mcp

by oni-chan69

kimi_resume

Resume a Kimi Code session to continue analysis with a new prompt, retaining full context up to 256K tokens. Use after an initial scan for deeper code investigation.

Instructions

Resume an existing Kimi Code session with a new prompt. The session retains all previous context (up to 256K tokens). Use kimi_list_sessions to find session IDs first. Ideal for drilling deeper after an initial kimi_analyze scan.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
session_idYesSession ID to resume (UUID format)
promptYesNew prompt to send in the resumed session
work_dirYesWorking directory (must match the original session)
thinkingNoEnable thinking mode (default: true)
detail_levelNoOutput verbosity. summary: ~2-5K tokens. normal (default): ~5-15K tokens. detailed: ~15-40K tokens.
max_output_tokensNoMax tokens in response (~4 chars/token). Default: 15000.
include_thinkingNoInclude Kimi internal reasoning. Default: false.
Behavior3/5

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

Discloses session retains up to 256K tokens, but lacks information on destructive behavior or side effects. Since no annotations are provided, description carries the burden but only partially meets it.

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 sentences, no fluff. The key action and usage hint are front-loaded, making it easy for an agent to quickly grasp the tool's purpose.

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?

Covers core behavior and use case. Lacks details about return values or error conditions, but schema and sibling context fill some gaps. Adequate for a resume tool.

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 coverage is 100%, so parameters are already documented. Description adds context about session retention but does not significantly enhance parameter understanding beyond schema.

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 it resumes a session with a new prompt, mentions context retention, and distinguishes itself from siblings like kimi_analyze and kimi_list_sessions.

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?

Explicitly says to use kimi_list_sessions first and recommends for deeper drilling after kimi_analyze, providing clear context for when to use.

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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