See a buyer's OPEN demand as free teasers, forwarded to their buyer MCP. Each teaser carries a paid door_url: the FULL brief and the ability to offer are paid at that x402 door, not here. Use a teaser to decide if your stock fits, then go to the door.
| Name | Required | Description | Default |
|---|---|---|---|
| buyer_mcp_url | Yes | A buyer's mcp_url from a find_buyers result. |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses that teasers are free and carry a paid door_url for full access, and that the tool does not provide full briefs or offer capability. With no annotations, this transparency adds significant value.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Three concise sentences each serve a distinct purpose: defining the tool, explaining the paid component, and providing usage guidance. No unnecessary words or repetition.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given a simple tool with one parameter and no output schema, the description covers input (implied), output (teasers with door_url), and the business process. It is fully complete for an agent to understand and use the tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The single parameter is fully described in the schema as 'A buyer's mcp_url from a find_buyers result.' Schema coverage is 100%, so the description does not need to add extra detail; the schema already handles parameter semantics adequately.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool retrieves a buyer's open demand as free teasers. The verb 'see' and resource 'buyer's OPEN demand as free teasers' are specific, and the tool is easily distinguishable from siblings like find_buyers or get_buyer_preferences.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear context that the tool is for initial screening: 'Use a teaser to decide if your stock fits, then go to the door.' It implies when to use and what to do after, though it lacks explicit exclusion or mention of alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools have clearly distinct purposes (discovery, purchasing, negotiation, seller management, taste/intent). Some overlap exists, e.g., multiple ways to get product details, but descriptions clarify distinct use cases. A few tools like find_buyers and get_buyer_briefs might be confused at first glance but have different inputs.
Tool names predominantly follow verb_noun pattern in snake_case, e.g., find_seller, buy_product, get_shipping_quote. The outlier is seller_mcp_url which starts with a noun instead of a verb, and negotiate is a bare verb but fits. Overall consistent with minor deviations.
28 tools is on the high side for a single server, but the domain is complex (agentic commerce covering discovery, purchasing, negotiation, seller registration, etc.). The count is borderline heavy but reasonable for the breadth of functionality.
The tool set covers major aspects of agentic commerce: search, buying, negotiation, shipping, digital delivery, seller onboarding, and taste/intent. Missing features like order tracking or store updates are minor gaps; core workflows are well-supported.
