Ace Website MCP

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Beyond the annotations, the description usefully clarifies that no charge is made by this tool and that payment occurs on Stripe's hosted page. It does not contradict the annotations, though it does not detail persistent side effects of creating the checkout session.

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 short sentences front-load the core purpose, then the return value, then the key non-charge behavior. Every sentence adds value and there is no filler.

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 low-complexity, two-parameter tool, the description covers the core action, the returned value, and the important fact that no charge occurs immediately. It remains slightly incomplete in not steering agents to list_products for offer_id discovery or describing how to use the returned URL after payment.

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?

With 0% schema description coverage, the description was expected to explain the parameters, but it only repeats that quantity is one offer and leaves offer_id and its ace-mac/ace-windows values unexplained. It also adds no guidance about how the return continue_url relates to the parameters.

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 states a specific action ('Start a purchase') on a clear resource ('one offer') and names a concrete output (continue_url to Stripe checkout). It is functionally distinct from siblings like get_checkout and list_products, though it does not explicitly name or contrast them.

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 intended usage is implied: call this tool to initiate an offer purchase and send the buyer to the returned continue_url. However, it gives no explicit when-to-use vs alternatives or exclusions, such as using list_products to discover valid offer_id values.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already cover readOnlyHint, idempotentHint, and non-destructiveness. The description adds the precondition that the checkout must have been started by create_checkout, but does not disclose response contents or error behavior, which is acceptable given the strong annotation coverage.

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?

A single, front-loaded sentence communicates both the action and the required precondition with no filler. Every word serves a purpose.

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 simple read operation with one obvious identifier parameter and rich annotations, the description is sufficiently complete. It could mention the return shape, but the title already indicates status and no output schema is present.

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?

With only one parameter, checkout_id, the schema name is self-explanatory and the description confirms it identifies the checkout to read. However, schema description coverage is 0%, and the description itself adds no parameter-level detail, so it only earns average credit.

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?

States a specific action ('Read'), a resource ('checkout'), and explicitly ties the tool to create_checkout, distinguishing it from the creating sibling. The title reinforces that it reads checkout status.

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 clearly implies the tool is used after create_checkout has started a checkout. It doesn't explicitly name alternatives or exclusions, but the relationship to its creator sibling provides sufficient context for appropriate selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint, covering the safety profile. The description adds meaningful behavioral detail: prices are Stripe-verified, billing terms and delivery are included, and availability is live. This enriches what an agent knows beyond the annotations, without contradicting them.

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?

A single, information-dense sentence with no filler. The key selling point ('everything an agent can buy') is front-loaded, followed by essential attributes (prices, billing, delivery, availability). Every word earns its place.

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 list-only tool with no parameters and no output schema, the description covers the essential behavioral scope: what is listed (products), key attributes (prices, billing, delivery), and the dynamic nature (live availability). It does not explicitly state the return format, but that is implied by the tool's nature and the openWorldHint. Slightly more could be said about sorting or filtering, but it is adequate.

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 tool has zero parameters, so the schema covers 100% of the interface trivially. The description adds no parameter details because none are needed. The baseline for 0 params is 4, and the description does not detract from that.

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 resource ('everything an agent can buy from Ace') and implies the verb (list). It distinguishes from sibling tools like create_checkout and get_checkout by focusing on the catalog of purchasable items, so an agent can immediately tell when this tool is relevant.

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 'everything an agent can buy' provides clear context for when to use the tool (i.e., to discover available products before purchase). It does not explicitly name alternatives or exclusions, but the sibling names (checkout, pages, site info) make the separation intuitive. No explicit when-not guidance, so a point is withheld.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The annotations already indicate read-only, idempotent, and non-destructive behavior, so the description adds value by specifying the output formats and the 40,000-character limit, as well as the specific domain restriction. This goes beyond what annotations declare.

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, front-loaded sentence that efficiently conveys the core function and key constraints without unnecessary detail.

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 one parameter and no output schema, the description covers the essential behavior and constraints. The main gap is the lack of clarity on format selection and edge cases, but it is sufficient for basic use.

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?

With no schema descriptions, the description compensates by implying that the URL must be from ace-bl.tech, which is a meaningful constraint. However, it does not explain how the output format is chosen or what 'stripped text' entails, leaving some ambiguity.

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 action (read), the resource (a specific website page), and the output format (Markdown or stripped text) with a character limit. This distinguishes it from siblings like search_pages or site_info, which have different purposes.

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 no guidance on when to use this tool versus the sibling tools. It does not mention alternatives or exclusions, leaving the agent to infer when a direct page read is appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false, lowering the bar. The description adds useful behavioral context: it searches URL paths rather than page content and returns URLs with a match score. It does not cover ordering or pagination, but that is acceptable for a safe read-only search.

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 definition is two compact sentences: the first front-loads the action, target, and matching mechanism; the second states the return value. Every word earns its place with no filler.

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?

With only two simple parameters, robust read-only/idempotent annotations, and a clear statement of inputs and outputs, the description is complete for correct invocation. No output schema exists, but the return shape is explicitly summarized as URLs with a match score.

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 clarify parameters. It effectively explains that 'query' contains words to match against URL paths. The 'limit' parameter remains covered by the schema's default/min/max, which is sufficient for a simple integer bound.

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 uses a specific verb ('Find'), identifies the resource ('pages on ace-bl.tech'), and states the search mechanism ('by words in their URL path (sitemap search)'). This makes it immediately distinguishable from sibling tools like read_page or list_products.

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 sitemap-search framing implies the intended use case, but the description does not explicitly contrast this tool with siblings or state when not to use it. There are no named alternatives or exclusions, leaving routing partially to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already carry the safety profile (readOnlyHint=true, idempotentHint=true, destructiveHint=false), so the description only needs to add content expectations, which it does by naming the kinds of links returned (sitemap, docs, contact, discovery documents). The openWorldHint aligns with 'every discovery document,' and there is no contradiction.

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?

A single, tight sentence with the core purpose ('What Ace is') front-loaded before the enumeration of included links. There is no filler, and the length is appropriate for a zero-parameter tool.

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 zero-parameter read-only reference tool with no output schema, the description gives enough to know what to expect: a site overview plus links. The minor gaps — unspecified output format and no definition of 'discovery document' — are not material given the tool's low complexity.

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 tool takes zero parameters and the empty input schema fully documents this, so the baseline of 4 applies. The description adds nothing about parameters, but nothing is needed.

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 states what the tool provides — information about what Ace (ace-bl.tech) is, plus links to sitemap, docs, contact, and discovery documents. The verb is implicit rather than explicit, but the resource and content scope are clear and it is readily distinguishable from the product/checkout/page siblings.

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?

When to use the tool is implied — an agent needing a site overview or navigation links would naturally select it — but the description never states this nor names alternatives such as search_pages or read_page. For a zero-parameter tool whose siblings are behaviorally distinct, the implied usage is adequate but not explicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.