open_checkout
Return merchant product/checkout URL for a quote. Does not complete payment.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| quote_id | Yes | ||
| offer_index | No |
Return merchant product/checkout URL for a quote. Does not complete payment.
| Name | Required | Description | Default |
|---|---|---|---|
| quote_id | Yes | ||
| offer_index | No |
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?
With no annotations, the description carries the burden and does disclose one key behavior—'Does not complete payment'—preventing misuse as a payment tool. However, it does not state whether opening a checkout creates a session, reserves inventory, or requires special permissions, so operational side effects remain opaque.
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?
The description is a single concise sentence with the main action front-loaded and the critical non-payment clarification appended. No filler 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?
For a tool with no annotations and no output schema, the description is too sparse: it omits the meaning of offer_index, the shape of the returned URL, and any prerequisites or side effects. An agent calling this tool correctly would need more context than provided.
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?
Schema description coverage is 0%, so the description must explain the parameters. It aligns 'quote' with quote_id but says nothing about offer_index, its optionality, or how it modifies the returned URL. An agent cannot reliably decide whether or how to set offer_index.
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?
Description uses a specific verb ('Return') and resource ('merchant product/checkout URL') tied to a quote, and explicitly states what it does not do ('Does not complete payment'), making its purpose unambiguous and distinct from siblings such as get_quote or post_offer.
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 phrase 'for a quote' implies this tool is used when a quote exists and a checkout URL is needed, but it names no sibling alternatives or when-not-to-use conditions, leaving the agent to infer the decision boundary among the eight sibling tools.
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 target distinct workflow stages, but get_quote and search_supply both scan supply and write to the demand tape, and list_demand and open_pool both center on demand clusters. post_intent could also be confused with search_supply's implicit-intent side effect. Descriptions help, but some misselection risk remains.
All tool names follow a consistent lowercase verb_noun pattern: post_intent, post_offer, get_quote, list_demand, open_checkout, search_supply. Repeated verbs like post and open are paired with different clear objects, keeping the pattern predictable.
Eight tools is well-scoped for a pre-transaction demand/supply matching and checkout server. Each tool covers a meaningful stage without unnecessary duplication. The count feels intentional and complete for the stated domain.
The server covers the core pre-transaction lifecycle: recording intents and offers, covering intents, quoting, supply scanning, demand visibility, and checkout URL generation. There are no explicit update/delete/cancel operations, but the descriptions repeatedly scope out deposits, orders, and payment, so those omissions appear deliberate.