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Enhanced Knowledge Graph Memory Server

Enhanced Knowledge Graph Memory Server

by danielsimonjr
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
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spell_vocabulary_size

Count unique terms in the spell checker vocabulary, covering entity names and tag values, to diagnose coverage gaps and validate knowledge graph data.

Instructions

v2.1.0 — Return the count of unique terms in the SpellChecker vocabulary (entity names + tag values by default). Mostly diagnostic.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "spell_vocabulary_size"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv12.7.0

TDQS

A4/5.0
Behavior3/5

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

Describes what it returns and its default scope, but does not explicitly state it is read-only or non-destructive. Without annotations, the description could clarify no side effects.

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 short sentences with no filler, front-loading the action and adding a diagnostic tag.

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?

Provides essential information for a parameterless tool, though output type (integer) is implied but not explicit; adequate given simplicity.

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?

No parameters; baseline 4 applies as description does not need to add parameter details.

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?

Clearly states it returns the count of unique terms in the SpellChecker vocabulary, specifying the scope (entity names + tag values by default) and its diagnostic nature.

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?

Only mentions 'mostly diagnostic' as usage context, but does not specify when to use vs. other diagnostic tools like 'diag' or 'check_graph'.

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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