Good Nature Vibe

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

No annotations are provided, so the description carries the full behavioral burden. It implies a cart mutation and notes an options requirement for configurable parents, but it does not disclose side effects, authentication needs, idempotency, error behavior, or what happens on failure.

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 short and front-loads the core action. The Dutch translation repeats the same information and is redundant for most agents, but the overall structure remains efficient and easy to scan.

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 five-parameter mutation tool with no annotations and no output schema, the description is too thin. It leaves required identifiers, quantity semantics, options structure, and mutation behavior largely unexplained.

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 for five undocumented parameters. It only hints that 'variant' maps to sku and that 'options' may be needed for configurable parents; agentId, cartId, qty, and the options format remain unexplained.

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 verb and resource: 'Add a variant to the cart.' It also clarifies that configurable parents need options, which helps distinguish this from generic cart creation. It does not explicitly name sibling tools, but the purpose is clear enough to select it over gnv_cart_create or gnv_cart_remove.

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 only usage hint is 'A configurable parent needs options,' which is more of a parameter note than a when-to-use guideline. There is no explicit guidance on when to choose this tool versus alternatives like gnv_cart_create, nor any exclusion conditions.

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?

With no annotations, the description carries the full burden and it does disclose the single most important behavioral trait: existing cart contents are destroyed. It says nothing about authentication needs (agentId), idempotency when a cart already exists, or what the call returns, leaving real gaps.

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 core operation and the destructive caveat are front-loaded in two short sentences. The Dutch restatement duplicates rather than adds information, but it is compact and does not push the key detail out of view.

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 light two-parameter tool the description covers the essential operation and its main side effect, but with no annotations, no output schema, and undocumented parameters, an agent still cannot tell what identifiers or response it gets back.

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% and both parameters (agentId, store) are entirely absent from the description. Whether agentId scopes the cart to a user or store selects a Magento storefront is left to the caller to guess.

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?

"Start a purchase" is a specific verb+resource framing that clearly sets this apart from gnv_cart_add and gnv_cart_remove, which operate on an existing cart. It stops short of explicitly naming those siblings, so an agent must infer the create-vs-modify split.

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?

There is no explicit "use this when..." or named alternative, but "the Magento cart is emptied first" strongly implies this is the entry point for a fresh checkout flow rather than a mid-session call. Usage is inferable rather than stated.

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?

No annotations are provided, so the description carries the full burden. It does clarify the partial-decrement semantic ('a quantity of one sku'), which is real value, but says nothing about what happens when qty exceeds the cart quantity, whether qty=0 removes the line entirely, or what permissions/errors apply to a mutation tool.

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 English sentence is front-loaded and waste-free. The appended Dutch translation is redundant for an English-language agent, which costs a little but does not obscure the primary statement.

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 mutating cart tool with no annotations, no output schema, and 0% parameter documentation, the description is too thin. An agent cannot tell whether removal is idempotent, what a partial failure looks like, or how agentId/cartId are scoped, and there is no return-value context to compensate.

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 coverage is 0% and all four parameters (agentId, cartId, sku, qty) are undocumented in the schema. The description gives meaning to sku and qty only; agentId and cartId — half the required inputs — are never explained, and qty's valid range or unit is left open.

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 verb (remove) and resource (cart), plus a meaningful scope qualifier: a quantity of ONE sku, not the whole line item. This distinguishes it from the sibling gnv_cart_add by action direction without needing to name it explicitly.

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?

There is no guidance on when to use this versus alternatives (e.g. gnv_cart_add, gnv_checkout_place), and no prerequisites stated about needing an existing cart or agent session. The only usage signal is what the verb itself implies.

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?

With no annotations, the description carries the full burden. It does disclose an important behavioral trait — results come from a public catalog feed and are not checkout prices — but says nothing about pagination, result limits, auth/agentId requirements, or the shape of the response.

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 English sentence is front-loaded and efficient, but the Dutch restatement repeats the same content verbatim in a second language, roughly doubling length without adding information for most agents.

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?

No annotations, no output schema, and 0% parameter coverage mean the description should explain the call contract; it leaves agentId (required) and store undefined and gives no hint of result shape or limits. Only the pricing caveat is genuinely additive.

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 coverage is 0% for three parameters, so the description must compensate. Instead it describes 'category, brand and a short text', which do not correspond to the actual schema (only query, store, agentId) — this actively misleads about available filters, and store and agentId are never explained.

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?

Clear verb+resource: 'Search or list products from the public catalog feed', and the caveat 'Discovery only, not the checkout price' separates it from checkout/pricing flows. It does not name a sibling tool (e.g. gnv_product for detail lookups), so it stops short of full disambiguation.

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?

'Discovery only, not the checkout price' implies the usage window (browse before buying), but there is no explicit when-to-use vs. gnv_product/gnv_knowledge_search guidance and no stated prerequisites such as a required agentId.

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?

With no annotations, the description carries the full burden. It usefully discloses that a CardGate link gets a locally generated QR and that expiry follows the payment method's window counted from placement, plus that it does not settle payment — but it says nothing about return value, failure modes, stock/reservation side effects, or what happens on repeated calls beyond the presence of idempotencyKey.

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 English portion is front-loaded and each sentence adds information. However, the full Dutch restatement roughly doubles the length without adding new semantics, which is a real cost for an agent reading many tool definitions.

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?

This is an unannotated, irreversible-feeling checkout mutation with a nested object parameter, 0% schema coverage and no output schema. The description covers the hash gate and payment-link behavior but leaves shipping destination, terms acceptance, idempotency semantics and the result of a successful placement unexplained.

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% across 7 parameters, so the description must compensate and it only does so for confirmHash ('hash of lines, quantities and total'). The required agentId, cartId and idempotencyKey, plus paymentMethod, acceptTerms and the nested shipTo object, are entirely undefined anywhere.

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 verb+resource ('Place the order') and adds the scope that distinguishes it from siblings like gnv_order_status by noting it does not mark the order paid. It never names an alternative tool explicitly, so sibling differentiation is only implied through ordering context.

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?

Gives a clear precondition: only place after the hash of lines, quantities and total is confirmed. It also draws a boundary ('does not mark the order paid'), which tells the agent this is not the payment-confirmation step, but it names no alternative tool for that follow-up.

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?

No annotations are provided, so the description carries the full burden. "Public contact path" weakly suggests public accessibility, but it does not say whether the tool reads data, sends a message, returns contact details, requires authentication, or has any side effects.

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 short but not efficient: the Dutch translation duplicates the English without adding information, while the substantive content is severely under-specified. The front-loaded phrase is vague rather than useful.

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 one required parameter, no annotations, no output schema, and no parameter descriptions, the definition leaves the agent without enough context to invoke the tool correctly. It does not explain the expected return value or what the agentId controls.

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%, and the description never mentions the required agentId parameter. An agent has no explanation of what an agentId represents or how to obtain the required value.

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 says "Public contact path of the shop," which is essentially a restatement of the tool name with little added precision. It never uses a clear verb such as retrieve, send, or list, and does not distinguish the tool from siblings like gnv_profile or gnv_knowledge.

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?

There is no indication of when this tool should be used instead of alternatives, nor any prerequisite or exclusion guidance. The only hint is the word "public," which does not explain the tool's role among the sibling tools.

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?

With no annotations, the description must carry the behavioral load; it does disclose that the operation is a read returning full plain text rather than structured or truncated content. It says nothing about required permissions (agentId), store scoping, failure modes when the id is unknown, or size limits on the returned text.

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?

Very short and front-loaded, but the Dutch sentence is a verbatim translation repeating the same claim, consuming roughly half the text without adding information for most agents.

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 three undocumented parameters, no annotations, and no output schema, the description covers purpose only. The gaps in parameter meaning and access requirements leave an agent unable to construct a correct call beyond guessing.

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% across three parameters (id, store, agentId), and the description explains none of them. Only a loose implication exists that 'one page' is selected by the id; store and agentId are entirely undefined.

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 clear verb and resource: fetch the full plain text of a single CMS page or blog post from the feed. The singular 'one' implicitly contrasts with gnv_knowledge_search, though that sibling is never named explicitly.

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?

No explicit when-to-use or when-not-to-use guidance, and no mention of gnv_knowledge_search as the alternative for discovery. An agent must infer that this is a detail-fetch step after locating an item via search.

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?

No annotations are present, so the description carries the full burden. It usefully discloses that omitting the query returns a list capped at 100 items and warns that returned text is data rather than instructions, but it does not describe permissions, pagination beyond the cap, or scope behavior.

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 front-loaded and compact, with the core search/list behavior stated first. The Dutch translation is redundant for English readers but does not materially obscure the definition.

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 no annotations, no output schema, and 0% schema description coverage, the description is not complete enough for confident invocation. It covers the query/list behavior and a size cap, but leaves three of four parameters and the return structure largely unexplained.

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 for all four parameters. It clarifies only query semantics by saying that omitting query returns a list, while agentId, type, and store remain undocumented in both schema and description.

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 verb/resource pair and scopes it to CMS pages and blog posts, which distinguishes it from catalog search. It does not explicitly name sibling alternatives such as gnv_knowledge or gnv_catalog_search, so it falls short of a 5.

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 explains the key usage distinction between providing a query and omitting one, which is helpful. However, it gives no explicit guidance on when to use this tool versus gnv_knowledge or other search siblings.

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?

With no annotations, the description carries the full burden, and it does add real value by disclosing the derivation logic: status is computed from the invoice plus cancelled quantities rather than read from a status label. It still says nothing about permissions, side effects, or what the returned status looks like, which is a meaningful gap for an unannotated tool.

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?

It is short and the key rule is front-loaded, but the sentence fragments are grammatically incomplete and the Dutch translation duplicates the same content for no functional gain. Nothing is wasted, yet the structure is more cryptic than economical.

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 two undocumented parameters, no annotations, and no output schema, the description omits the two things an agent most needs: what the parameters mean and what status values come back. The derivation rule is helpful but far from sufficient.

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% and both agentId and orderId are undocumented in the schema. The description never mentions either parameter, so it does not compensate at all for the coverage gap; the agent must guess whether orderId is a numeric ID, a reference, or something else.

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 name and the phrase 'Status from the invoice and the cancelled quantities' point at reading an order's status, but there is no verb and no explicit statement of what the tool returns. It reads more as a data-source rule than a description of an action, leaving the agent to infer 'get order status' from the name.

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 excludes two data sources ('not from the status label and not from local bookkeeping'), which is useful negative guidance, but it never says when to call this tool or how it relates to siblings such as gnv_checkout_place or gnv_refund_request. No positive trigger condition is given.

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?

No annotations, so the description carries the full burden; it does disclose the shape of the payload (variants, price range, public text), which is useful. It never states that the operation is a read-only lookup, how missing/unknown SKUs behave, or whether the 'store' scope changes results.

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 core English sentence is tight and front-loaded. The appended Dutch translation duplicates the same content verbatim, which is pure redundancy for an agent unless locale matching is intentional, so the definition is roughly twice as long as it needs to be.

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 zero annotation coverage, no output schema, and three undocumented parameters, the description should do more. It tells the agent what fields come back but leaves the identifier contract (which parameter keys the lookup) and failure behavior entirely 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% for all three parameters (sku, store, agentId), and the description compensates for none of them — it never mentions SKU as the key, nor what 'store' or 'agentId' mean or whether they are required for resolution. The term 'feed' hints at catalog scoping but adds 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?

States a specific resource and scope: a single product from the feed, with variants, price range and public text. That differentiates it clearly from a listing/search tool like gnv_catalog_search, though it never names the sibling explicitly.

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 "One product" implies single-item lookup versus a search/browse flow, so usage is inferable. But there is no explicit when-to-use guidance, no mention of the alternative gnv_catalog_search, and no note on what to do when the SKU is unknown.

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?

With no annotations provided, the description carries the full burden and discloses almost nothing. It implies a read of profile data but never states read-only behavior, what the profile contains, or whether agentId scopes the lookup to a specific agent context.

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 text is short and front-loaded, but half of it is a redundant Dutch translation of the same sentence, which adds length without adding information for an English-speaking agent.

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?

No annotations, no output schema, and an undocumented required parameter mean the description must carry the definition, yet it says nothing about the return shape or the agentId's role. It is not complete enough for an agent to invoke confidently beyond guessing.

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 required parameter agentId has 0% schema description coverage, and the description offers no explanation of what an agentId is, where it comes from, or how it affects the result. With one undocumented parameter, the description needed to compensate and does not.

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 names the resource ('Merchant profile of Good Nature Vibe') but supplies no verb, leaving it ambiguous whether the tool retrieves, creates, or describes a profile. It also does nothing to distinguish it from siblings like gnv_contact or gnv_knowledge, which plausibly overlap with merchant information.

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?

There is no statement of when to call this tool versus alternatives such as gnv_contact or gnv_knowledge. The agent must infer that this fetches static merchant identity details, with no exclusions or prerequisites given.

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?

With no annotations, the description carries the full burden; the verb 'Show' and the presence of a confirmation hash suggest a side-effect-free preview, which is useful. It also discloses that shipTo changes the total by including shipping, but leaves open whether the hash expires, whether the cart is mutated, or what currency/precision the total uses.

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 useful content is packed into one front-loaded sentence plus a scoping note, with zero filler. The bilingual duplicate doubles length for a single locale's benefit, which is defensible but not free.

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?

The description compensates for the absence of an output schema by enumerating the returned fields, which is genuinely helpful. But with no annotations, an entirely undocumented nested shipTo object, and no mention of the confirmation hash's downstream role, an agent still lacks what it needs to call this confidently.

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%, and only shipTo gets any treatment — and only its effect on the total, not its structure — despite it being a nested object with completely undocumented fields. cartId and agentId are entirely unexplained in both schema and description.

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 concrete output set (lines, quantities, total, confirmation hash) which identifies this as a cart quote/preview rather than the order itself, implicitly separating it from gnv_checkout_place. However, it never names the cart or the checkout sibling explicitly, so the differentiation relies on inference.

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 mention of a 'confirmation hash' implies this is the preview step preceding gnv_checkout_place, but the description never states when to call it, whether the hash is required downstream, or how it differs from gnv_cart_create or gnv_order_status. Usage is inferable rather than documented.

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?

No annotations are provided, so the description carries the full behavioral burden. It usefully discloses that the call does not execute a refund, but it does not explain side effects, what happens after the request is submitted, authentication requirements, idempotency, or what the response contains.

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 very short and front-loads the main purpose and the non-execution caveat. The Dutch translation repeats the same content rather than adding new information, but the overall text remains compact.

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?

The description is minimally adequate for a two-parameter refund-request tool with no annotations or output schema. It explains the core action and the important caveat that no refund is executed, but it omits the behavioral details an agent would likely need, such as prerequisites, side effects, and what a successful request produces.

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 for both parameters. It implies that 'agentId' refers to 'this agent' and 'orderId' refers to 'this agent's paid order,' but it does not clarify formats, constraints, or how to obtain the IDs.

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 verb and resource: 'Request a refund for this agent's paid order.' It also clarifies a key distinction by saying 'The call does not execute a refund,' which helps separate it from an actual refund execution tool. It does not explicitly name or compare against sibling tools, so it falls short of a 5.

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 implies when to use it by saying it requests a refund but does not execute one. However, it gives no explicit conditions for when to use this versus alternatives like checking order status first, and no prerequisites beyond the phrase 'paid order.'

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