TitanStore Commerce MCP

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

No annotations are provided, so the description carries full burden. It mentions requiring a valid SKU and returning a cart token, but fails to disclose behaviors such as what happens if the product already exists in the cart, whether quantity updates or errors, authentication requirements, or error handling for invalid SKU.

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 two sentences long with no wasted words. It front-loads the primary action and outcome, then adds a prerequisite and return value succinctly.

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 (2 parameters, output schema exists), the description covers the main purpose and return value, but omits details on quantity behavior, error states, and authentication, leaving gaps for an agent to properly invoke the tool in all scenarios.

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%, meaning the description adds no detail about either parameter beyond mentioning 'sku' implicitly. The quantity parameter is completely ignored, and no additional meaning (e.g., valid ranges, defaults, or format) is provided.

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: 'Add a TitanStore product to your cart and receive a cart token.' It uses specific verb and resource, and distinguishes from sibling tools like checkout, confirm_payment, etc., which serve different stages of the purchasing process.

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 the tool is used before checkout by stating 'Returns cart_token needed for checkout,' but it does not explicitly state when to use it versus alternatives, nor does it provide when-not-to-use guidance or mention exclusions.

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 full burden. It discloses that a payment_token is returned and needed for completion, but does not mention side effects like holds or charges, leaving some ambiguity about the tool's 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?

Two sentences efficiently convey purpose, required inputs, and output. No unnecessary information; front-loaded with the core action.

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 an output schema present, the description needn't detail return values, but it mentions the key output (payment_token). For a simple tool with two required params, it covers the flow and dependencies, though error conditions are not addressed.

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%, but the description explains that cart_token comes from add_to_cart and email is a billing email. This adds meaning beyond the schema's type-only definitions, though format constraints or examples are omitted.

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 'Initiate checkout for a cart' with specific verb and resource. It distinguishes from siblings by referencing cart_token from add_to_cart and returning payment_token for confirm_payment, establishing the logical flow.

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 advises using cart_token from add_to_cart and a billing email, implying the tool is used after add_to_cart and before confirm_payment. It does not explicitly state when not to use, but the context 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. It discloses that the tool completes the purchase and returns an order confirmation, but does not mention idempotency, failure handling, or irreversible actions.

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 two sentences, directly stating the purpose and outcome. Every word earns its place, and it is efficiently structured with the action first.

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 and the existence of an output schema (not shown), the description covers the main behavior and return. It could mention the prerequisite of having called checkout first, but overall is sufficiently 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?

With 0% schema description coverage, the description adds essential semantics: 'payment_token from checkout' and 'cc_token (credit card token)'. This clarifies origin and type, but lacks format or validation details.

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 clearly states the tool confirms payment using two tokens and completes a purchase, returning an order confirmation. The verb 'confirm payment' is specific to the resource, and it is well-distinguished from siblings like 'checkout' which initiates the process.

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 'from checkout' implies this tool is used after the checkout step, providing clear context. However, it lacks explicit when-not-to-use guidance or comparison with alternatives like checkout.

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 states 'Retrieve' implying a read-only operation, but does not disclose any behavioral aspects such as authentication requirements, rate limits, error handling, or what happens if the SKU is invalid. The output format is not described beyond 'full details', and the output schema exists but is not detailed in the description.

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 extremely concise with two sentences, front-loaded with the action and resource. Example SKUs are given but do not waste space. Every sentence 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?

Given the tool's simplicity (1 parameter, output schema exists), the description is adequate but lacks completeness. It does not mention error handling, rate limits, or the structure of the returned 'full details'. The presence of an output schema reduces the burden, but the description could still add value by noting common use cases or limitations.

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 only says 'by SKU' and provides example SKUs (TS-001, etc.), but does not explain the format, constraints, or pattern of the SKU parameter beyond these examples. No additional semantics are provided.

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 retrieves full product details for a TitanStore product by SKU, using a specific verb 'Retrieve' and resource 'full details'. It distinguishes from the sibling 'search_products' which likely returns a list, making the scope clear.

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 usage for getting details of a single product by SKU, but does not explicitly contrast with alternatives like 'search_products' or mention when not to use it. The example SKUs provide some guidance but no explicit when-to-use or when-not-to-use.

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 full burden but omits key behavioral details such as pagination, result limits, ordering, or read-only nature. The return types are listed, but operational traits are missing.

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?

Two concise sentences with front-loaded purpose and efficient category listing, no fluff or 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?

Given the simple search tool with an output schema, the description covers return types and filtering adequately. Lacks pagination/result details, but completeness is acceptable for the context.

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 description adds meaning by listing valid category values, which the schema does not provide (0% coverage). However, it does not explain the query parameter's format, required status, or behavior, leaving significant gaps.

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 searches the TitanStore product catalog, listing specific return types and filter options. It effectively distinguishes from sibling tools like add_to_cart and get_product by focusing on search functionality.

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 use for product discovery but does not explicitly contrast with get_product or provide when-not-to-use guidance. Usage context is inferred from sibling tools rather than stated.

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