SendaMeal Storefront

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

With no annotations, the description carries the burden of disclosing behavior. It reveals automatic cart creation, support for product variants, and multi-currency/locale support. However, it claims 'batch operations for adding multiple items at once' while the input schema only accepts a single item object, which is misleading. Missing details about side effects or other behaviors.

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 well-organized with headings and bullet points, front-loading the main purpose. It is somewhat verbose but each section adds value. A few sentences could be trimmed without losing clarity.

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 tool has a complex nested schema and no annotations, but the description provides a clear flow and feature list. However, the inaccurate batch claim and lack of detail on what happens when a cart already exists reduce completeness. The output schema exists, but the description doesn't clarify return behavior.

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 should compensate. It mentions 'product variants, quantities, and custom properties', which aligns with variantEntityId, quantity, and selectedOptions. But it doesn't explain the structure or required fields in detail, and the batch claim may mislead parameter usage.

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 adds products and gift certificates to a shopping cart, with automatic cart creation. It distinguishes itself from siblings like remove_item_from_cart and update_cart_item by explicitly mentioning adding items and creating carts.

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 a 'Use this tool when' list and a flow showing when to call this tool relative to search_products, get_product_details, and create_checkout_url. However, it doesn't explicitly mention when NOT to use it (e.g., versus update_cart_item).

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 burden. It discloses that errors can occur (e.g., cart not found) and describes the required flow. However, it does not explicitly state whether the operation mutates the cart or creates any persistent side effects, which is ambiguous for a 'create' operation.

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 well-structured with clear sections (Arguments, Returns, Flow) and every section adds useful information. It is slightly verbose due to the flow explanation, and contains a distracting typo ('CreateResult'), but remains efficient and readable.

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 the tool's simplicity (0 params) and the presence of an output schema, the description covers prerequisites, return values, and operational flow. It lacks clarification on side effects, but overall is sufficiently complete for an agent to use the tool correctly.

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, and the description correctly notes 'Arguments: None.' With no parameters to document, the baseline is 4 and no additional parameter semantics are 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 a specific action: 'CreateResult a checkout URL for a cart assigned to a current session.' It clearly identifies the resource (checkout URL) and distinguishes from siblings like add_item_to_cart or search_products. The typo 'CreateResult' does not obscure the meaning.

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?

It provides clear context by stating the prerequisite (a cart must be present) and a step-by-step flow involving manage_cart. It does not explicitly name alternatives or when-not-to-use, but the sequence and prerequisites offer sufficient guidance for when to invoke this tool.

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 discloses key behaviors: returns null if product not found, requires option_values when options exist, and integrates into a multi-step flow. However, it doesn't mention permissions or rate limits, but these are less critical for a read-only 'get' 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 description is moderately sized with a clear structure (purpose, arguments, returns, flow). The flow is valuable but slightly redundant with the purpose, and multiple IMPORTANT callouts add emphasis but could be tightened. Overall, the content 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?

Given an output schema exists, the description doesn't need to fully describe return values, but it does mention 'Product details including variants and images' and 'null if not found.' It also provides essential workflow context with sibling tools, making it sufficiently complete for a retrieval 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?

Schema coverage is 0%, so the description compensates by explaining id and optionValues. It adds the crucial context that option_values is required only when the product has options, but it uses inconsistent naming ('optionValues' vs 'option_values') and doesn't detail the array object structure beyond what the schema already shows.

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 explicitly states 'Get product details (variants and images) by product ID' with a clear verb and resource, and distinguishes itself by noting this tool follows search_products and focuses on variants/images. The flow section reinforces this distinction by naming the sibling tool search_products for base details.

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 'Flow' section provides explicit step-by-step usage: call search_products first, then this tool, then add_item_to_cart. It clearly names alternatives and specifies when this tool is needed, satisfying the 'when/when-not/alternatives' requirement.

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 of disclosing behavior. It states that the item is 'removing the item completely', works with products and gift certificates, 'Maintains cart structure after removal', and provides 'Immediate cart updates'. It also notes the prerequisite of an existing cart, adding valuable context beyond a bare mutation.

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 structured with headings and lists, but contains redundancy (e.g., 'Remove specific items' and 'Remove unwanted items' say the same thing; the 'Features' section repeats 'Target removal by specific item ID'). The inclusion of a multi-step flow with unrelated tools makes it longer than necessary, though the structure is generally clear.

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 provides prerequisites ('Requires an existing cart with items to remove'), usage scenarios, behavior notes, and a flow. Since an output schema exists, it need not explain return values. This is fairly complete for a simple removal tool, though it could mention error handling for invalid IDs.

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 the single parameter (item_id). The description compensates by explaining the parameter meaning: 'target removal by specific item ID' and 'targeting specific item IDs'. This clearly associates the parameter with the cart item being removed, adding semantics beyond the bare schema.

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 verb 'Remove' and the resource 'items from your shopping cart', with explicit distinction from the sibling tool 'update_cart_item' by noting quantity reduction is handled there. This unambiguously identifies the tool's purpose and differentiates it from alternatives.

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 explicit when-to-use scenarios (e.g., 'Remove specific products they no longer want', 'Clean up their cart before checkout') and directly names the alternative for quantity reduction ('update_cart_item'). It even includes a brief flow showing how this tool fits into a larger process.

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 thoroughly explains pagination behavior, the 'nextCursor' field, and the rule to omit null cursors. It also discloses the need to ask users about options/variants before proceeding. However, it doesn't mention error handling, rate limits, or side effects (though search is inherently read-only).

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 verbose and somewhat repetitive. For example, 'ask user which option to choose' appears in both the Flow section and the final IMPORTANT note. The phrase 'with results of search_products and get_product_details (variant) tools' is awkwardly worded. While detailed, it could be more concise and better structured.

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 search tool with pagination and downstream integration, the description covers the core behavior, pagination, and workflow with sibling tools. Output schema exists, so return values are documented elsewhere. Missing are details on error cases, empty results, and sorting/filtering, but these are not critical for basic usage.

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 only 33% (only 'context' has a description), but the description compensates richly: it defines 'term' with a length constraint (at least 3 characters) and details 'cursor' pagination mechanics, including how to obtain the next cursor and the null-handling rule. This goes well beyond the bare schema.

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 opens with 'Search products by a term', which clearly states the verb (search), resource (products), and specific scope (by term). It also includes pagination details and distinct workflow steps, making it easily distinguishable from sibling tools like get_product_details and add_item_to_cart.

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 'Flow' section provides explicit step-by-step usage guidance, including when to call get_product_details (after search, with option selection if variants exist) and when to proceed to add_item_to_cart. It doesn't explicitly say when not to use the tool or name alternative search tools, but the workflow is clear.

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 of behavioral disclosure. It only states that the tool modifies cart items and "maintains cart integrity during updates," which is vague. It does not disclose behavior on invalid line_item_id, whether quantities are set absolutely or incremented, side effects, reversibility, or required auth. For a mutation tool, this is a significant gap.

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 structured with clear sections: intro, use cases, features, flow, and prerequisite. It uses bullets for readability. However, it has some redundancy (first two sentences both state the purpose) and a typo ("updatem"), and the feature bullet "Maintains cart integrity during updates" is vague. Overall, it is appropriately sized but could be tightened.

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 tool has a complex nested schema for selectedOptions, and the description provides a high-level overview of use cases but lacks detail on parameter semantics. The flow section helps by directing users to get_product_details for product variants, which is useful. However, it omits error scenarios, partial update behavior, and response details (though an output schema exists). For a mutation tool with this complexity, the description is only partially complete.

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. It does add some meaning by mentioning quantity adjustments, product variants, and custom properties, which map roughly to the 'item' object's quantity, variantEntityId, and selectedOptions. However, it does not explain how to structure the selectedOptions object or whether productEntityId can be changed. line_item_id is not explicitly defined, though its purpose is implied by the name.

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's purpose: "Modify existing items in your shopping cart." It uses a specific verb (modify) and resource (cart items), and explicitly lists concrete operations like changing quantities, updating product variants, and modifying custom properties. This distinguishes it from sibling tools like add_item_to_cart and remove_item_from_cart.

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 explicit use cases with "Use this tool when customers need to..." and a step-by-step flow that references sibling tools. It also mentions a prerequisite ("Requires an existing cart with items to modify"). However, it does not explicitly state when NOT to use this tool vs alternatives like remove_item_from_cart, though the use cases make that clear.

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