spell_suggest

v2.1.0 \u2014 Suggest close matches for a (potentially misspelled) query over the vocabulary of entity names + tag values. Two-stage: bigram-Jaccard pre-filter (NGramIndex) + Levenshtein re-rank.

SERVEREnhanced Knowledge Graph Memory Server SOURCEdanielsimonjr/memory-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/danielsimonjr-memory-mcp/spell-suggest.md

WHAT IT DOES

What spell_suggest does on Enhanced Knowledge Graph Memory Server

AI agents call spell_suggest to retrieve information from Enhanced Knowledge Graph Memory Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why spell_suggest is rated Low

The tool retrieves and ranks existing vocabulary items without creating, modifying, deleting, or executing any operations. It is a pure query/suggestion utility that helps users find existing entities or tags through fuzzy matching, making it a Read category operation with minimal risk.

From the tool's definition Tool performs vocabulary matching and suggestion using bigram-Jaccard and Levenshtein algorithms on existing entity names and tag values. Described as 'suggest close matches' with no mutation, deletion, or execution capabilities.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs spell_suggest safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Enhanced Knowledge Graph Memory Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For spell_suggest, this is the rule to start with:

spell_suggest Allowed

spell_suggest is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "spell_suggest": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Enhanced Knowledge Graph Memory Server, apply this rule, and every spell_suggest call is checked against it from then on.

FAQ

Questions about spell_suggest

What does the spell_suggest tool do? +

v2.1.0 \u2014 Suggest close matches for a (potentially misspelled) query over the vocabulary of entity names + tag values. Two-stage: bigram-Jaccard pre-filter (NGramIndex) + Levenshtein re-rank. It is categorised as a Read tool in the Enhanced Knowledge Graph Memory Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on spell_suggest? +

Register the Enhanced Knowledge Graph Memory Server MCP server in PolicyLayer and add a rule for spell_suggest: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Enhanced Knowledge Graph Memory Server. Nothing to install.

What risk level is spell_suggest? +

spell_suggest is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit spell_suggest? +

Yes. Add a rate_limit block to the spell_suggest rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block spell_suggest completely? +

Set action: deny in the PolicyLayer policy for spell_suggest. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides spell_suggest? +

spell_suggest is provided by the Enhanced Knowledge Graph Memory Server MCP server (danielsimonjr/memory-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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