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lemonade-bench

lemonade-bench

by mxmarchal
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
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lemonade_update_notebook

Update your persistent notebook with concise hypotheses, experiments, and facts for quick recall.

Instructions

Replace your persistent player notebook with a concise set of hypotheses, experiments, and facts you want to remember.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "content": "<content>"
    },
    "name": "lemonade_update_notebook"
  }
}

Input Schema

NameRequiredDescriptionDefault
contentYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4.3/5.0
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 conveys that the notebook is replaced (an overwrite), but does not go into details like persistency, undoability, or return values. The disclosure is adequate but not rich.

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, well-structured sentence that front-loads the action and resource. Every phrase earns its place, providing both the operation and the intended content without redundancy.

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

Completeness5/5

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

For a tool with one parameter and no output schema, the description fully captures the purpose and expected content. The sibling read_notebook provides the complementary read operation, so no additional details are necessary.

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?

The schema only defines 'content' as a string with a max length, with no description. The tool description compensates by explaining what should go into the content field (hypotheses, experiments, facts), giving the agent valuable guidance despite the 0% schema coverage.

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 action ('Replace') and the resource ('your persistent player notebook'), making it distinct from the sibling read_notebook tool. It also specifies the content type (hypotheses, experiments, facts), providing a complete purpose.

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 the tool: to replace the notebook with a concise set of remembered items. It does not explicitly name alternatives or exclusions, but the complementary read_notebook is implied, and the context is sufficient for an agent to select this tool.

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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