textprep.stem_word
Return stemmed tokens joined as a string.
This record as markdown: /tools/io-github-musaddiquehussainlabs-mhlabs-mcp-tools/textprep.stem-word.md
What textprep.stem_word does on Pypi:mhlabs Mcp Tools
AI agents call textprep.stem_word to retrieve information from Pypi:mhlabs Mcp Tools without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why textprep.stem_word is rated Low
This tool performs a pure text transformation (stemming) on input tokens and returns the result as a string. It has no side effects, does not modify any stored data, and is entirely a read/transform operation on the provided text.
From the tool's definition Return stemmed tokens joined as a string
Attacks that exploit this kind of access
The rule that runs textprep.stem_word safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Pypi:mhlabs Mcp Tools, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For textprep.stem_word, this is the rule to start with:
textprep.stem_word 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 Pypi:mhlabs Mcp Tools, apply this rule, and every textprep.stem_word call is checked against it from then on.
Questions about textprep.stem_word
Return stemmed tokens joined as a string. It is categorised as a Read tool in the Pypi:mhlabs Mcp Tools MCP Server, which means it retrieves data without modifying state.
Register the Pypi:mhlabs Mcp Tools MCP server in PolicyLayer and add a rule for textprep.stem_word: 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 Pypi:mhlabs Mcp Tools. Nothing to install.
textprep.stem_word 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 textprep.stem_word 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 textprep.stem_word. 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.
textprep.stem_word is provided by the Pypi:mhlabs Mcp Tools MCP server (MusaddiqueHussainLabs/mhlabs_mcp_tools). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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