Free live quote. Mixes vendor offers and catalog. Every spec is written to the demand tape. Does not place orders.
| Name | Required | Description | Default |
|---|---|---|---|
| mpn | No | ||
| spec | No | ||
| deadline | No | ||
| quantity | No | ||
| intent_id | No | ||
| max_price_usd | No | ||
| ship_to_country | 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 behavioral disclosure burden. It partially succeeds by noting a side effect ('Every spec is written to the demand tape') and a non-action ('Does not place orders'). However, it does not explain whether the quote is persisted, how the demand tape is used, whether the operation is idempotent, or any rate/authorization constraints.
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 compact at four short sentences with the main idea 'Free live quote' front-loaded. Every sentence is brief, but the 'demand tape' phrase is cryptic and not immediately meaningful. Overall, it is efficient and avoids redundancy.
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 7 parameters, no output schema, and no annotations, the description is considerably incomplete. It does not explain return values, parameter formats, or usage conditions, and the only behavioral side effect mentioned is the vague 'demand tape' write. The description leaves too many operational details unspecified.
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 compensate by explaining key parameters, but it only mentions 'spec' generically. None of the seven parameters (mpn, spec, deadline, quantity, intent_id, max_price_usd, ship_to_country) are described. The description adds virtually no parameter-level meaning.
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 identifies the tool as providing a 'Free live quote' that 'Mixes vendor offers and catalog', which conveys the core purpose of getting a quote. It also distinguishes itself from order placement with 'Does not place orders.' However, the phrase 'Every spec is written to the demand tape' introduces unexplained jargon, slightly reducing clarity.
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 gives no explicit guidance on when to use this tool versus alternatives, nor does it name any sibling tool. 'Does not place orders' is an exclusion, but it does not tell the agent when to invoke get_quote rather than search_supply, post_intent, or open_checkout. Usage context is only implied through 'live quote'.
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.