Check spelling in the document and get suggestions
AI agents call spell_check to retrieve information from LLM2Docs (Unofficial) without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
spell_check retrieves and analyzes text to provide spelling suggestions without altering the document. This is a passive, informational query with no side effects, matching the Read category definition. Severity is low because the tool cannot change data or trigger external actions; misuse would only return redundant or irrelevant suggestions with minimal impact.
From the tool's definition Tool description states 'Check spelling in the document and get suggestions' — a read-only operation that queries and returns information without modifying document state.
Attacks that exploit this kind of access
Check spelling in the document and get suggestions. It is categorised as a Read tool in the LLM2Docs (Unofficial) MCP Server, which means it retrieves data without modifying state.
Register the LLM2Docs (Unofficial) MCP server in PolicyLayer and add a rule for spell_check: 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 LLM2Docs (Unofficial). Nothing to install.
spell_check is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the spell_check 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.
Set action: deny in the PolicyLayer policy for spell_check. 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.
spell_check is provided by the LLM2Docs (Unofficial) MCP server (nomannayeem/google-docs-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
spell_check is one line of LLM2Docs (Unofficial)'s registry record.
The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.
Teams ship this data inside their own products. See what a licence covers →