singapore_prompt_examples
Find realistic user prompts by category, keyword or canonical tool name. This is discovery, not execution.
This record as markdown: /tools/olano-mcp-singapore/singapore-prompt-examples.md
What singapore_prompt_examples does on Mcp Singapore
AI agents call singapore_prompt_examples to retrieve information from Mcp Singapore 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 |
|---|---|---|---|
tool | string | — | |
limit | integer | — | |
search | string | — | |
category | string | — |
Parameters from the server's own tool schema.
Why singapore_prompt_examples is rated Low
Even though singapore_prompt_examples 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 singapore_prompt_examples safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Singapore, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For singapore_prompt_examples, this is the rule to start with:
singapore_prompt_examples 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 Mcp Singapore, apply this rule, and every singapore_prompt_examples call is checked against it from then on.
Questions about singapore_prompt_examples
Find realistic user prompts by category, keyword or canonical tool name. This is discovery, not execution. It is categorised as a Read tool in the Mcp Singapore MCP Server, which means it retrieves data without modifying state.
singapore_prompt_examples accepts 4 parameters: tool, limit, search, category. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Singapore MCP server in PolicyLayer and add a rule for singapore_prompt_examples: 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 Mcp Singapore. Nothing to install.
singapore_prompt_examples 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 singapore_prompt_examples 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 singapore_prompt_examples. 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.
singapore_prompt_examples is provided by the Mcp Singapore MCP server (@olano/mcp-singapore). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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