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HebrewCore by baba Hebrew

by com.itsbaba
OverviewDiscussionsAdmin

Remove nikud

strip_nikud
Read-onlyIdempotent

Remove nikud, dagesh and cantillation marks from Hebrew text, keeping punctuation such as the maqaf. Use it to normalize text for search keys, comparison and de-duplication, or to get display text back from vocalized text. Deterministic and free: no character quota.

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": {
      "text": "<text>"
    },
    "name": "strip_nikud"
  }
}

Input Schema

NameRequiredDescriptionDefault
textYesHebrew text with nikud or cantillation, up to 20,000 characters.

Output Schema

NameRequiredDescriptionDefault
textNoThe input.
strippedNoThe text without nikud, dagesh or cantillation. Punctuation such as the maqaf is kept.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint and idempotentHint, and the description adds useful behavioral context: it is deterministic, has no character quota, and preserves punctuation such as the maqaf. This goes beyond the structured data without contradicting 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?

Three sentences with no filler: the action is front-loaded, use cases follow, and the operational note about determinism and character quota is concise. Every sentence earns its place.

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?

This is a simple single-parameter, read-only, idempotent transformation tool. The description covers what it does, when to use it, and key behavioral traits, while the output schema can provide return details. There is no meaningful gap for safe selection and invocation.

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% and the single 'text' parameter already has a clear description, length limits, and an example. The tool description adds broader purpose but not much parameter-specific detail, so the schema carries the load and the description neither hurts nor substantially improves parameter understanding.

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 states a specific action ('Remove nikud, dagesh and cantillation marks') and a clear resource ('Hebrew text'), then clarifies that punctuation like the maqaf is retained. This distinguishes it from the sibling add_nikud and makes the tool's exact scope obvious.

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 use cases: normalize text for search keys, comparison, de-duplication, or retrieving display text from vocalized text. It does not explicitly name alternatives or state when not to use it, but the contexts are specific enough to guide an agent.

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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