Browse public buy requests — what users are looking to buy but haven't found through normal supply. The demand side of Partle. Use this when an agent wants to offer matches (cross-reference open requests against search_products and surface hits) or just survey unmet demand. Every result is a publ...
Risk signalsAccepts freeform code/query input (query) · Bulk/mass operation — affects multiple targets
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AI agents call search_wanted to retrieve information from Partle without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though search_wanted only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"search_wanted": {}
}
}See the full Partle policy for all 21 tools.
These attack patterns abuse exactly the kind of access search_wanted gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Browse public buy requests — what users are looking to buy but haven't found through normal supply. The demand side of Partle. Use this when an agent wants to offer matches (cross-reference open requests against search_products and surface hits) or just survey unmet demand. Every result is a public posting — users put these up specifically so suppliers can reach them. Buy requests are independent of personal inventory (which is private): these are sales-facing ads, not workshop tracking notes. Read-only. No authentication. Rate-limited 100 req/hour per IP. Args: query: Free-text filter over title + description (case-insensitive substring). Omit to list everything, newest first. limit: Max results (1–100, default 20). offset: Pagination offset. Returns: A list of open buy requests. Each includes id, title, description (markdown — read the full text for specs and constraints), quantity, max_price + currency (if the poster set a ceiling), contact (if they left an email/phone/handle), reference_url (sample or datasheet link if any), posted_by (display name), and created_at. If the poster left a contact value, that's how a supplier should respond — Partle doesn't broker the conversation.. It is categorised as a Read tool in the Partle MCP Server, which means it retrieves data without modifying state.
Register the Partle MCP server in PolicyLayer and add a rule for search_wanted: 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.
search_wanted 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 search_wanted 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 search_wanted. 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.
search_wanted 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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