Post a public buy request — an ad asking suppliers to reach out. Use when the user wants others to know they're looking to buy something. Independent of personal inventory — inventory is the user's private workshop tracking; a buy request is a sales-facing ad on the public demand feed at /wanted....
Risk signalsHandles credentials or secrets (api_key)
Part of the Partle server.
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AI agents use create_buy_request to create or modify resources in Partle. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call create_buy_request repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Partle.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"create_buy_request": {
"limits": [
{
"counter": "create_buy_request_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Partle policy for all 21 tools.
These attack patterns abuse exactly the kind of access create_buy_request gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Post a public buy request — an ad asking suppliers to reach out. Use when the user wants others to know they're looking to buy something. Independent of personal inventory — inventory is the user's private workshop tracking; a buy request is a sales-facing ad on the public demand feed at /wanted. Authenticated. Required OAuth scope: inventory:write. Not idempotent — each call creates a new public post. Args: title: Short scannable headline ("Looking for X"). description: Markdown long-form — specs, constraints, delivery preference. The supplier reads this to decide whether they can fulfil. quantity: How many units the poster wants. Default 1. max_price: Optional ceiling per unit. currency: Currency for max_price (default €). contact: Free-form contact (email/phone/Telegram/etc.) shown publicly. Optional. Without it, suppliers can only respond via whatever channels you separately make available. reference_url: Link to a sample/datasheet/manufacturer page. product_id: Link to a canonical Partle product if asking for a specific known SKU. api_key: Legacy/fallback auth. Returns: The newly-created buy request, or {"error": ...}.. It is categorised as a Write tool in the Partle MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Partle MCP server in PolicyLayer and add a rule for create_buy_request: 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 Partle. Nothing to install.
create_buy_request is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the create_buy_request 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 create_buy_request. 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.
create_buy_request is provided by the Partle MCP server (https://partle.rubenayla.xyz/mcp/). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 21 Partle tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.