text_lorem
utilpeek: Generate seeded lorem ipsum or English placeholder text. For random values use generate_random. Returns placeholder text: classic lorem ipsum or English filler, in words (at most 10,000), sentences (1,000) or paragraphs (100), deterministic for a seed (echoed back). Input: optional kind...
This record as markdown: /tools/dev-tanod-tanod/text-lorem.md
What text_lorem does on Tanod
AI agents call text_lorem to retrieve information from Tanod 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 |
|---|---|---|---|
kind | string | — | lorem (Latin-like lorem ipsum, default) or english (common English words). |
seed | integer | — | Random seed (default 0): the same seed and settings give the same text. |
unit | string | — | What `count` counts: words, sentences or paragraphs (default). |
count | integer | — | At most 10,000 words, 1,000 sentences or 100 paragraphs. |
start_with_lorem | boolean | — | kind=lorem: begin with "Lorem ipsum dolor sit amet" (default true). |
Parameters from the server's own tool schema.
Why text_lorem is rated Low
Even though text_lorem only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs text_lorem safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Tanod, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For text_lorem, this is the rule to start with:
text_lorem 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 Tanod, apply this rule, and every text_lorem call is checked against it from then on.
Questions about text_lorem
utilpeek: Generate seeded lorem ipsum or English placeholder text. For random values use generate_random. Returns placeholder text: classic lorem ipsum or English filler, in words (at most 10,000), sentences (1,000) or paragraphs (100), deterministic for a seed (echoed back). Input: optional kind, unit, count, seed and start_with_lorem; an empty body gives 3 paragraphs. Typically under 0.3 s. Price: USD 0.001. Free: 10 utilpeek calls per IP per UTC day. It is categorised as a Read tool in the Tanod MCP Server, which means it retrieves data without modifying state.
text_lorem accepts 5 parameters: kind, seed, unit, count, start_with_lorem. The full parameter table on this page comes from the server's own tool schema.
Register the Tanod MCP server in PolicyLayer and add a rule for text_lorem: 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 Tanod. Nothing to install.
text_lorem 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 text_lorem 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 text_lorem. 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.
text_lorem is provided by the Tanod MCP server (https://tanod.dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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