Skip to main content
Glama
BlackFoil

claude-token-saver-mcp

by BlackFoil

batch_offload

Batch submit coding tasks to a local LLM. Process tasks sequentially with context passing or in parallel, handling partial failures to save API tokens.

Instructions

Submit multiple coding tasks as a batch to the local LLM. Tasks are processed sequentially or in parallel. Supports partial failure.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tasksYesArray of tasks (1-10)
sequentialNoProcess tasks sequentially, passing previous result as context (default: false)
Behavior3/5

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

Discloses sequential/parallel processing and partial failure, adding value beyond no annotations. However, lacks details on idempotency, side effects, error handling, or rate limits.

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?

Three sentences, no wasted words, front-loaded with key purpose. Efficient and clear.

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?

Covers purpose, processing mode, and partial failure, but without output schema, more detail on result handling and error behavior would improve completeness for a batch operation 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 description adds minimal meaning beyond what the schema already provides for tasks and sequential parameters.

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?

Description clearly states the tool submits multiple coding tasks as a batch to the local LLM, with a specific verb and resource. It distinguishes from siblings like offload_work by emphasizing batch processing.

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

Usage Guidelines3/5

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

Implies usage for batch tasks but provides no explicit when-to-use, when-not-to-use, or alternatives. Missing guidance on comparison with offload_work or other sibling tools.

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/BlackFoil/claude-token-saver-mcp'

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