Start a Table Maker conversation to generate a research table. Describe the table you want in natural language, e.g.: 'Create a table of AI startups that raised Series A in 2024 with columns: company name, funding amount, investors, product description.' auto_start: When True, the AI skips the co...
Part of the Hyperplexity server.
Free to start. No card required.
AI agents invoke start_table_maker to trigger processes or run actions in Hyperplexity. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
start_table_maker can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
{
"version": "1",
"default": "deny",
"tools": {
"start_table_maker": {
"limits": [
{
"counter": "start_table_maker_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} See the full Hyperplexity policy for all 16 tools.
These attack patterns abuse exactly the kind of access start_table_maker gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Start a Table Maker conversation to generate a research table. Describe the table you want in natural language, e.g.: 'Create a table of AI startups that raised Series A in 2024 with columns: company name, funding amount, investors, product description.' auto_start: When True, the AI skips the confirmation step and generates the table immediately from the message alone, without asking clarifying questions or showing a structure for approval. Use when the message fully describes the desired table and no back-and-forth is needed.. It is categorised as a Execute tool in the Hyperplexity MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Hyperplexity MCP server in PolicyLayer and add a rule for start_table_maker: 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 Hyperplexity. Nothing to install.
start_table_maker is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the start_table_maker 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 start_table_maker. 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.
start_table_maker is provided by the Hyperplexity MCP server (hyperplexity/hyperplexity). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 16 Hyperplexity tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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