datamuse_suggestions
Get autocomplete suggestions for a word prefix.
This record as markdown: /tools/io-github-malamutemayhem-unclick-mcp-server/datamuse-suggestions.md
What datamuse_suggestions does on UnClick
AI agents call datamuse_suggestions to retrieve information from UnClick without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
limit | number | — | Max results (default 10) |
prefix | string | Yes | Word prefix to autocomplete |
Parameters from the server's own tool schema.
Why datamuse_suggestions is rated Low
This tool retrieves autocomplete suggestions based on a word prefix input. It is a read-only operation with no side effects—it queries a word database and returns matching suggestions. There is no data modification, code execution, deletion, or financial impact. The low severity reflects minimal blast radius; misuse would only return irrelevant suggestions.
From the tool's definition Tool name 'datamuse_suggestions' and description 'Get autocomplete suggestions for a word prefix' indicate a query operation that retrieves word suggestions without modifying or executing operations.
Attacks that exploit this kind of access
The rule that runs datamuse_suggestions safely
PolicyLayer is an MCP gateway: it sits between your AI agents and UnClick, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For datamuse_suggestions, this is the rule to start with:
datamuse_suggestions is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect UnClick, apply this rule, and every datamuse_suggestions call is checked against it from then on.
Questions about datamuse_suggestions
Get autocomplete suggestions for a word prefix. It is categorised as a Read tool in the UnClick MCP Server, which means it retrieves data without modifying state.
datamuse_suggestions accepts 2 parameters: limit, prefix. Required: prefix. The full parameter table on this page comes from the server's own tool schema.
Register the UnClick MCP server in PolicyLayer and add a rule for datamuse_suggestions: 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 UnClick. Nothing to install.
datamuse_suggestions 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 datamuse_suggestions 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 datamuse_suggestions. 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.
datamuse_suggestions is provided by the UnClick MCP server (@unclick/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on UnClick, and thousands of servers like it.
This server
Across the catalogue