marketplace

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

With no annotations provided, the description carries full burden. It discloses authentication requirements (critical behavioral trait) but doesn't mention other important behaviors like whether this is idempotent, what happens if product/cart doesn't exist, error handling, or rate limits. The authentication guidance is valuable but incomplete for 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?

Two sentences, zero waste. First sentence states purpose and key parameter. Second sentence provides critical prerequisite. Every sentence earns its place with essential information, front-loaded appropriately.

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 mutation tool with no annotations and no output schema, the description provides good authentication guidance but lacks information about return values, error conditions, idempotency, or side effects. It's adequate for basic usage but has clear gaps for a tool that modifies state.

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 100%, so the schema already documents all 3 parameters thoroughly. The description mentions 'quantity' parameter semantics but adds no additional meaning beyond what the schema provides. Baseline 3 is appropriate when schema does the heavy lifting.

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 specific action ('Add a product'), target resource ('to an existing cart'), and key parameter ('with the specified quantity'). It distinguishes from sibling tools like 'create_cart' (makes new cart) and 'remove_from_cart' (opposite action), providing precise differentiation.

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?

Explicitly states when to use this tool ('Add a product to an existing cart') and provides a clear prerequisite ('Requires authentication — call 'authenticate' with your sk_buy_* key first'). It distinguishes from alternatives by specifying it works on existing carts, not creating new ones.

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 full burden and does well by explaining the authentication requirement for certain tools, the key types (buyer vs. seller keys), and the one-time session nature of the call. It doesn't mention error behavior, session duration, or what happens on failed authentication.

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 tightly packed sentences with zero waste. First sentence states purpose, second provides usage guidelines, third adds key format details. Every sentence earns its place with essential information.

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 an authentication tool with no annotations and no output schema, the description provides excellent context about when to use, key types, and tool dependencies. It doesn't explain what successful authentication returns or how errors manifest, but covers the essential operational context well.

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 100% with only one parameter, so baseline would be 3. The description adds meaningful context by explaining the key format ('starts with sk_buy_ or sk_sell_') and distinguishing buyer vs. seller keys, which provides semantic value beyond the schema's basic 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 clearly states the specific action ('Authenticate this MCP session') with the resource ('BopMarket API key'). It distinguishes this tool from all sibling tools by explaining it's a prerequisite authentication step rather than a business operation like cart or order management.

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?

Explicitly states when to use ('Call this once before using cart, checkout, price watch, order, or listing tools') and when not to use ('Read-only tools work without auth'). Provides clear alternatives by naming specific sibling tools that require vs. don't require authentication.

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 behavioral disclosure. It clearly states the authentication requirement (none needed) and the 50-item limit, which are important behavioral traits. However, it doesn't describe what the comparison actually returns (e.g., structured data, visual output, or specific attributes compared), which is a significant gap for a tool with no output schema.

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 (two sentences) with zero wasted words. It's front-loaded with the core purpose and includes only essential additional information (limit and authentication). Every sentence 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 the tool's moderate complexity (batch operation with a limit) and the absence of both annotations and an output schema, the description is incomplete. While it covers purpose, authentication, and limits well, it fails to describe what the comparison returns or how results are structured, leaving a significant gap for the agent to understand the tool's behavior fully.

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 100%, so the schema already fully documents the single parameter 'productIds' with its type, format, and limit. The description adds no additional parameter semantics beyond what's in the schema, maintaining the baseline score of 3 for high schema coverage.

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 specific action ('compare'), resource ('products'), and scope ('side-by-side by their IDs'), with explicit quantitative limits ('up to 50'). It distinguishes from siblings like 'get_product' (single product) or 'search_products' (search-based).

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 clear context for when to use this tool (comparing multiple products by ID) and explicitly states 'No authentication required', which is helpful guidance. However, it doesn't explicitly mention when NOT to use it or name specific alternatives among the many 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?

No annotations are provided, so the description carries the full burden. It discloses that authentication is required and specifies cancellable states, adding useful behavioral context. However, it doesn't mention potential side effects (e.g., refunds, notifications), error conditions, or response format, leaving gaps for 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 description is appropriately sized and front-loaded, with two sentences that efficiently convey purpose, conditions, and prerequisites without any wasted words. Every sentence earns its place by adding critical information.

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 is a mutation with no annotations and no output schema, the description is moderately complete: it covers purpose, usage conditions, and authentication needs. However, it lacks details on behavioral outcomes (e.g., what happens after cancellation) and error handling, which are important for a tool with potential side effects.

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 100%, with the parameter 'orderId' fully documented in the schema. The description doesn't add any extra meaning or details about the parameter beyond what the schema provides, so it meets the baseline for high coverage without compensation.

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 ('cancel') and resource ('order'), specifying it operates on orders in cancellable states (pending or confirmed). However, it doesn't explicitly differentiate from sibling tools like 'get_order' or 'list_orders', which are read-only operations, though the action is distinct.

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 on when to use: when an order is in a cancellable state (pending or confirmed). It also mentions a prerequisite to call 'authenticate' first. However, it doesn't explicitly state when not to use or name alternatives among siblings, such as 'get_order' for checking status first.

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 key behavioral traits: it's a mutation tool (creates orders, processes payments), requires authentication, and returns checkout status. However, it lacks details on error handling, rate limits, or idempotency behavior (though idempotencyKey is in the schema).

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 with the core action ('Checkout a cart'), followed by outcomes and prerequisites in two concise sentences. Every sentence adds value: the first explains what the tool does, and the second provides critical usage guidance. No wasted words 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 no annotations and no output schema, the description does well by covering purpose, usage prerequisites, and high-level behavior. However, it lacks details on return values (only mentions 'returns checkout status' vaguely) and error cases, which are important for a payment processing tool. It's mostly complete but has minor gaps.

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 100%, so the schema already documents all 7 parameters thoroughly. The description adds no additional parameter semantics beyond what's in the schema, but it implies the parameters relate to shipping and checkout processing, which aligns with the schema. Baseline 3 is appropriate when schema does the heavy lifting.

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 specific action ('Checkout a cart') and distinguishes it from siblings like 'get_cart' (which retrieves) or 'cancel_order' (which cancels). It specifies the outcome ('Creates orders, processes payments, and returns checkout status'), making the purpose unambiguous and differentiated.

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 explicitly states when to use it ('Requires authentication — call 'authenticate' with your sk_buy_* key first'), providing a clear prerequisite. It also implies usage context by mentioning it processes payments and creates orders, distinguishing it from cart management tools like 'add_to_cart' or 'remove_from_cart'.

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 full burden and discloses key behavioral traits: it's a creation operation (implied mutation), requires authentication, and specifies the authentication method. It doesn't mention side effects like cart persistence or rate limits, but covers essential operational 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?

Two sentences with zero waste: the first states the purpose, the second provides critical prerequisite. Every word earns its place, and information is front-loaded appropriately for a simple 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 0-parameter creation tool with no annotations or output schema, the description is nearly complete: it explains what it does, authentication requirements, and references a sibling tool. It could mention what 'empty' implies or return format, but given the simplicity, it's 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?

The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description appropriately doesn't discuss parameters, maintaining focus on tool purpose and prerequisites. Baseline for 0 params is 4, and it meets this by avoiding unnecessary parameter 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?

The description clearly states the specific action ('Create a new empty shopping cart') and distinguishes it from sibling tools like 'get_cart' (which retrieves) and 'add_to_cart' (which modifies). It uses precise verb+resource terminology without tautology.

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 explicitly states when to use this tool ('Create a new empty shopping cart') and provides a prerequisite ('Requires authentication — call 'authenticate' with your sk_buy_* key first'), including a clear alternative action to take first. This gives complete guidance on usage context.

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 behavioral disclosure. It successfully communicates that this is a write operation ('Create') and specifies authentication requirements. However, it doesn't mention potential side effects (e.g., whether listings are immediately published), rate limits, or error conditions that might be relevant for a creation 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 extremely concise with just two sentences that both earn their place. The first sentence states the purpose, and the second provides critical usage guidance. There's zero wasted text 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?

For a creation tool with no annotations and no output schema, the description does well by covering the essential purpose and authentication requirement. However, it doesn't mention what happens after creation (e.g., returns a listing ID, confirmation message) or potential constraints like character limits for fields, which would be helpful given the complexity of creating a product listing.

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 schema description coverage is 100%, so all parameters are documented in the schema. The description doesn't add any additional parameter information beyond what's already in the schema. This meets the baseline expectation when schema coverage is complete.

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 specific action ('Create a new product listing') and resource ('on BopMarket'), distinguishing it from sibling tools like 'update_listing' or 'list_listings'. It explicitly identifies the platform and the type of resource being created.

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 guidance on when to use this tool by stating the prerequisite: 'Requires merchant authentication — call 'authenticate' with your sk_sell_* key first.' This tells the agent exactly what must be done before invoking this tool, with a specific alternative action named.

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 behavioral disclosure. It helpfully mentions the authentication requirement, which is critical behavioral context. However, it doesn't disclose other important traits like whether this is a read-only or write operation (implied write from 'create'), rate limits, notification mechanisms, or what happens on success/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 perfectly concise with two sentences that each earn their place: the first states the purpose, the second provides critical usage guidance. No wasted words, and the most important information (authentication requirement) is front-loaded in the second sentence.

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 creation tool with no annotations and no output schema, the description provides adequate but incomplete context. It covers the purpose and authentication prerequisite well, but doesn't explain what the tool returns, error conditions, or system behavior after creation. Given the complexity of creating a persistent monitoring resource, more completeness would be helpful.

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 100%, so the schema already documents all three parameters thoroughly. The description doesn't add any parameter-specific information beyond what's in the schema (e.g., it doesn't explain productId format or targetPriceCents validation). Baseline 3 is appropriate when the schema does the heavy lifting.

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 with a specific verb ('create') and resource ('price watch'), explaining it's for notification when a product drops below a target price. It distinguishes itself from siblings like 'list_price_watches' (listing existing watches) and 'delete_price_watch' (removing watches).

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 explicitly states when to use this tool: to set up price notifications. It provides clear prerequisites by mentioning the required authentication step ('call 'authenticate' with your sk_buy_* key first'), which is crucial guidance not obvious from the schema alone.

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 behavioral disclosure. It adds value by specifying authentication requirements, which is crucial context. However, it lacks details on potential side effects (e.g., irreversible deletion, error handling, or rate limits), leaving gaps in behavioral understanding for a destructive 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 appropriately sized and front-loaded, with the core action stated first ('Delete a price watch by its ID') followed by essential context ('Requires authentication...'). Both sentences earn their place by providing critical information without waste, making it efficient and well-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?

Given the tool's complexity (a destructive operation with no annotations and no output schema), the description is incomplete. It covers authentication needs but misses details like what happens post-deletion, error responses, or confirmation prompts. While it provides some context, it falls short of being fully complete for safe agent 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?

Schema description coverage is 100%, so the schema already documents the 'watchId' parameter fully. The description adds no additional meaning beyond what the schema provides (e.g., format examples or constraints), resulting in a baseline score of 3 as the description does not compensate but also does not detract.

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 specific action ('Delete') and resource ('a price watch by its ID'), distinguishing it from siblings like 'list_price_watches' (which lists) and 'create_price_watch' (which creates). It precisely identifies what the tool does without being vague or tautological.

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 context for when to use it by stating 'Requires authentication — call 'authenticate' with your sk_buy_* key first,' which is a clear prerequisite. However, it does not specify when not to use it (e.g., vs. deleting other resources) or mention alternatives, keeping it from a perfect score.

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 behavioral disclosure. It effectively indicates that this is a destructive operation ('Delete') and specifies authentication requirements, which are crucial for a mutation tool. However, it lacks details on potential side effects (e.g., if deletion is permanent or reversible) or error handling, leaving some behavioral aspects unclear.

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 appropriately sized and front-loaded, with the core purpose stated first and the authentication requirement added as a necessary follow-up. Both sentences earn their place by providing essential information without redundancy or unnecessary elaboration.

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 complexity (a destructive operation with no annotations and no output schema), the description is partially complete. It covers the purpose and authentication need but omits details on return values, error conditions, or confirmation of deletion success, which are important for a tool of this nature.

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 100%, so the schema already fully documents the single parameter 'webhookId'. The description adds no additional semantic information about the parameter beyond what the schema provides, such as format examples or validation rules, resulting in a baseline score of 3.

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 specific action ('Delete') and target resource ('a registered webhook by its ID'), distinguishing it from sibling tools like 'register_webhook' and 'list_webhooks'. It precisely communicates the tool's function without ambiguity.

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 clear context for when to use this tool by specifying the prerequisite authentication step ('Requires authentication — call 'authenticate' with your sk_buy_* key first'). However, it does not explicitly state when not to use it or name alternatives, such as using 'list_webhooks' first to verify the ID.

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 behavioral disclosure. It effectively describes key behavioral traits: it's a read operation ('Get information'), requires authentication (a critical constraint), and hints at the scope of returned data. However, it doesn't mention potential rate limits, error conditions, or response format details.

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 perfectly concise and well-structured: two sentences that each earn their place. The first sentence states the purpose and scope, while the second provides critical usage guidance. There's zero wasted text 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?

For a 0-parameter tool with no output schema and no annotations, the description does an excellent job covering the essentials: purpose, authentication requirement, and data scope. The main gap is the lack of output format details, but given the tool's simplicity, this is a minor omission.

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 input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description appropriately focuses on behavioral context rather than repeating parameter information, earning a high baseline score for not adding unnecessary 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?

The description clearly states the tool's purpose: 'Get information about the authenticated agent' with specific details like 'type, spending limits, approved categories, and configuration'. It uses a specific verb ('Get') and resource ('authenticated agent'), but doesn't explicitly differentiate from sibling tools like 'get_cart' or 'get_order' beyond the resource focus.

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 usage guidance: 'Requires authentication — call 'authenticate' with your sk_buy_* key first.' This clearly states a prerequisite condition and names the specific alternative tool ('authenticate') to use beforehand, making it highly actionable for an AI agent.

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 full burden and adds valuable context: it discloses authentication requirements and implies read-only behavior by using 'Get', but doesn't detail rate limits, error handling, or response format, leaving some behavioral aspects unspecified.

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's front-loaded with the core purpose in the first sentence, followed by essential prerequisites in the second, with zero wasted words—every sentence earns its place efficiently.

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 low complexity (1 parameter, no output schema), the description is mostly complete: it covers purpose, usage, and auth needs, but lacks details on return values or error cases, which could be helpful for an agent.

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 100%, so the schema already documents the 'cartId' parameter. The description doesn't add meaning beyond what the schema provides (e.g., no examples or constraints), meeting the baseline for high coverage.

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 specific action ('Get') and resource ('current contents and total of a cart'), distinguishing it from siblings like 'add_to_cart' or 'remove_from_cart' by focusing on retrieval rather than modification.

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 explicitly states when to use this tool ('Requires authentication — call 'authenticate' with your sk_buy_* key first'), providing clear prerequisites and distinguishing it from tools that might not need auth, though it doesn't specify alternatives for similar retrieval tasks.

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 no authentication is required, which is useful behavioral context. However, it lacks details on rate limits, response format (e.g., tree structure), or potential errors, leaving gaps in transparency for a read 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 two short sentences with zero waste—it states the purpose and a key behavioral trait (no authentication). It's front-loaded and appropriately sized for a simple 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?

Given no annotations, no output schema, and a simple read operation, the description is minimally adequate. It covers the purpose and one behavioral aspect but lacks details on output (e.g., what 'full category tree' entails) and other context like error handling, making it incomplete for full agent understanding.

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 input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description adds no parameter information, which is acceptable here. Baseline is 4 for zero parameters, as the schema fully covers the absence of inputs.

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 ('Get') and resource ('full category tree'), making the purpose specific and understandable. It doesn't explicitly distinguish from siblings like 'get_product' or 'search_products', but the resource focus is distinct enough for basic 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 provides no guidance on when to use this tool versus alternatives. It mentions 'No authentication required,' which is a prerequisite but not usage context. There's no mention of when to prefer this over other data retrieval tools like 'get_product' or 'search_products'.

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 behavioral disclosure. It successfully communicates the authentication requirement, which is valuable context not captured elsewhere. However, it doesn't describe other important behavioral aspects like rate limits, error conditions, response format, or whether this is a read-only operation (though 'Get' implies reading).

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 perfectly concise with just two sentences that each serve a distinct purpose: the first states what the tool does, and the second provides critical usage guidance. There's no wasted language, and the most important information (the tool's purpose) is front-loaded.

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 single-parameter read operation with no output schema, the description provides adequate but minimal context. It covers the core purpose and authentication requirement, but doesn't explain what 'status and details' includes or provide any information about the return format. Given the simplicity of the tool, this is acceptable but not comprehensive.

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 input schema has 100% description coverage, with the single parameter 'listingId' clearly documented in the schema. The description doesn't add any additional parameter information beyond what's already in the structured schema, so it meets the baseline expectation without providing extra 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 clearly states the tool's purpose with a specific verb ('Get') and resource ('current status and details of a listing'), making it immediately understandable. However, it doesn't explicitly differentiate this tool from sibling tools like 'get_product' or 'get_order' that also retrieve information about different resources.

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 clear context about when to use this tool by specifying the authentication prerequisite ('Requires merchant authentication — call 'authenticate' with your sk_sell_* key first'). This gives practical guidance for proper invocation. However, it doesn't mention when NOT to use it or suggest alternatives for related queries.

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 behavioral disclosure. It helpfully mentions the authentication requirement, which is crucial behavioral context. However, it doesn't disclose other important traits like whether this is a read-only operation, potential rate limits, error conditions, or what format the detailed information returns. The description adds some value but leaves significant 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 description is perfectly concise with two sentences that each earn their place. The first sentence states the core purpose, and the second provides critical prerequisite information. There is zero waste or redundancy, and the information is front-loaded appropriately.

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 that this is a read operation with a single parameter and no output schema, the description provides adequate but incomplete coverage. It mentions authentication requirements but doesn't describe the return format or potential error conditions. For a tool that retrieves 'detailed information,' more context about what that information includes would be helpful, especially without an output schema.

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 input schema has 100% description coverage, with the single parameter 'orderId' clearly documented in the schema. The description doesn't add any additional meaning about parameters beyond what the schema already provides. According to the scoring rules, when schema_description_coverage is high (>80%), the baseline is 3 even with no param info in the 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 clearly states the verb ('Get detailed information') and resource ('about a specific order'), making the purpose unambiguous. It distinguishes from sibling 'list_orders' by focusing on a single order rather than listing multiple orders. However, it doesn't specify what 'detailed information' includes, which prevents a perfect score.

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 context about when to use this tool: when you need information about a specific order identified by orderId. It also mentions the prerequisite to call 'authenticate' first. It doesn't explicitly state when NOT to use it or name alternatives like 'list_orders' for bulk retrieval, which would be needed for a score of 5.

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. It discloses that no authentication is needed, which is helpful behavioral context. However, it lacks details on error handling, rate limits, or response format, leaving gaps in transparency for a read 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 extremely concise—two sentences with zero wasted words. It front-loads the core purpose and efficiently adds the authentication detail, making it easy for an agent to parse quickly.

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 tool with one parameter and no output schema, the description is minimally adequate. It covers the purpose and authentication but lacks details on return values or error cases, which could help the agent use it more effectively.

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 100%, so the schema fully documents the single parameter 'productId'. The description adds no additional parameter semantics beyond what's in the schema, resulting in the baseline score for high schema coverage.

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 ('Get detailed information') and resource ('about a specific product'), making the purpose unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'search_products' or 'get_product_offers', which prevents a perfect score.

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 alternatives like 'search_products' or 'get_product_offers'. It mentions 'No authentication required', which is a prerequisite but not usage context, leaving the agent without clear selection criteria.

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 behavioral disclosure. It adds useful context: 'No authentication required' clarifies access requirements, and 'grouped by canonical product' hints at the return structure. However, it lacks details on rate limits, error handling, or what 'offers' include (e.g., prices, sellers), leaving gaps in behavioral understanding.

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, efficient sentence with zero waste. It is front-loaded with the core purpose and includes essential context ('No authentication required') without unnecessary elaboration. Every part earns its place by adding value beyond the tool name.

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 moderate complexity (1 parameter, no output schema, no annotations), the description is adequate but incomplete. It covers purpose and authentication needs, but lacks details on output format (e.g., structure of offers), error cases, or platform specifics. Without annotations or output schema, more context would help the agent understand what to expect.

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 100%, so the schema already documents the single parameter 'productId' with its description. The description does not add any meaning beyond what the schema provides, such as format examples or constraints. With high schema coverage, the baseline score of 3 is appropriate as the description doesn't compensate but doesn't need to.

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 specific action ('Get all offers'), resource ('for a product'), and scope ('across platforms, grouped by canonical product'). It distinguishes from siblings like 'get_product' (which likely retrieves product details) and 'search_products' (which searches rather than fetching offers for a specific product).

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 clear context for when to use this tool ('for a product across platforms'), but does not explicitly state when not to use it or name alternatives. It implies usage for retrieving offers rather than product details or listings, but lacks explicit exclusions or comparisons to siblings like 'get_product' or 'list_listings'.

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 behavioral disclosure. It effectively communicates key traits: it's a read operation (implied by 'List'), requires authentication (explicitly stated), and supports pagination and filtering (implied by parameters). However, it doesn't mention rate limits, error handling, or the format of returned data, leaving some behavioral aspects unclear.

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 highly concise and well-structured in two sentences: the first states the purpose and optional filtering, and the second specifies the authentication requirement. Every sentence adds critical information without any redundancy or fluff, making it easy to parse and understand quickly.

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 moderate complexity (list operation with filtering/pagination), no annotations, and no output schema, the description is mostly complete. It covers purpose, authentication, and hints at behavior, but lacks details on output format, error cases, or rate limits. For a read tool with good parameter coverage, this is sufficient but not exhaustive.

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 schema description coverage is 100%, so the schema already fully documents all three parameters (page, status, pageSize) with their types, defaults, and descriptions. The description adds no additional parameter semantics beyond what's in the schema, such as explaining the status filter values or pagination behavior. This meets the baseline of 3 for high schema coverage.

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 specific action ('List all listings') with the target resource ('listings for the authenticated seller') and includes optional filtering by status. It distinguishes from siblings like 'create_listing' (for creation) and 'get_listing_status' (for specific status checks), making the purpose unambiguous and well-differentiated.

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 explicitly states when to use this tool ('List all listings for the authenticated seller') and provides clear prerequisites ('Requires merchant authentication — call 'authenticate' with your sk_sell_* key first'). It also mentions an alternative filtering option ('optionally filtered by status'), though it doesn't explicitly contrast with other listing-related tools like 'search_products', but the authentication requirement and scope are well-defined.

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 behavioral disclosure. It adds useful context about authentication requirements and filtering capabilities, but doesn't describe pagination behavior, rate limits, error conditions, or what the return format looks like. For a list operation with no annotation coverage, this leaves significant gaps in understanding how the tool behaves.

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 perfectly concise with two sentences that each earn their place: the first states the core functionality with optional filtering, and the second provides critical authentication context. There's zero wasted verbiage and it's front-loaded with the main 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 no annotations and no output schema, the description provides adequate but incomplete context. It covers authentication requirements and filtering scope, but doesn't address return format, pagination details, error handling, or rate limits. For a list operation that likely returns structured data, more behavioral context would be helpful.

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 100%, so the schema already fully documents all three parameters (page, status, pageSize) with their types, defaults, and descriptions. The description adds no additional parameter information beyond what's in the schema, so it meets the baseline but doesn't provide extra 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 clearly states the verb 'List' and resource 'orders' with scope 'for the authenticated agent', which is specific and unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'get_order' (singular) or 'search_products' (different resource), though the filtering by status is a distinguishing feature.

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 context for when to use: 'for the authenticated agent' and 'Requires authentication — call 'authenticate' with your sk_buy_* key first.' This gives clear prerequisites. However, it doesn't specify when NOT to use this tool versus alternatives like 'get_order' for a single order or 'search_products' for product-related queries.

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 behavioral disclosure. It adds value by stating the authentication requirement and referencing the 'authenticate' tool, which is useful context. However, it does not disclose other behavioral traits such as rate limits, pagination, or error handling, leaving gaps in transparency for a tool that likely interacts with a live system.

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 highly concise and front-loaded, consisting of two sentences that directly state the tool's purpose and authentication requirement. Every sentence earns its place by providing essential information without any waste, making it efficient and well-structured for quick understanding.

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 complexity (likely moderate as it lists active watches), no annotations, no output schema, and 0 parameters, the description is partially complete. It covers authentication needs but lacks details on output format, error cases, or system behavior, which are important for an agent to use the tool correctly in a real-world 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 input schema has 0 parameters with 100% coverage, so no parameter information is needed from the description. The description appropriately does not discuss parameters, and since there are none, it compensates well by focusing on other aspects like authentication. A baseline of 4 is applied as it handles the zero-parameter case effectively without unnecessary 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?

The description clearly states the action ('List all active price watches') and resource ('price watches for the authenticated agent'), making the purpose specific and understandable. However, it does not explicitly differentiate from sibling tools like 'get_product_offers' or 'search_products', which might also involve price-related queries, so it falls short of a perfect score.

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 clear context for usage by specifying that it requires authentication and references the 'authenticate' tool, which helps guide the agent on prerequisites. However, it lacks explicit guidance on when to use this tool versus alternatives like 'get_product' or 'search_products' for price information, so it does not fully cover when-not-to-use scenarios.

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 behavioral disclosure. It effectively adds context by specifying authentication requirements and the prerequisite action ('call 'authenticate''), which are not covered by the input schema. However, it lacks details on rate limits, pagination, or return format, leaving some behavioral aspects unclear.

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 with the core purpose in the first sentence and follows with essential usage guidance. Both sentences earn their place by providing critical information without any wasted words, making it highly efficient and well-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?

Given the tool's complexity (a list operation with authentication needs) and no annotations or output schema, the description is moderately complete. It covers authentication prerequisites but lacks details on output format, error handling, or behavioral constraints like rate limits, which could be important for an agent to use it 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 input schema has 0 parameters with 100% coverage, so the baseline is 4 as there are no parameters to document. The description does not need to add parameter semantics, and it appropriately focuses on other aspects like authentication without redundancy.

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 specific action ('List all registered webhooks') and resource ('webhooks for the authenticated agent'), distinguishing it from sibling tools like 'register_webhook' and 'delete_webhook'. It uses precise language that leaves no ambiguity about what the tool does.

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 context on when to use it ('Requires authentication — call 'authenticate' with your sk_buy_* key first'), which is crucial guidance. However, it does not mention when not to use it or alternatives (e.g., compared to other list tools like 'list_listings'), so it falls short of a perfect score.

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 behavioral disclosure. It mentions the authentication requirement, which is valuable context, but lacks details on other behavioral traits like rate limits, response format, error handling, or what happens on duplicate registrations. It adequately covers the basic operation but misses deeper behavioral insights.

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 with the core purpose in the first sentence and adds a crucial prerequisite in the second. Both sentences earn their place by providing essential information without redundancy, making it efficient and well-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?

Given the tool's complexity (registration with authentication), no annotations, and no output schema, the description is minimally complete. It covers the purpose and prerequisite but lacks details on return values, error cases, or operational constraints (e.g., webhook limits). It's adequate but has clear gaps for a mutation 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 description coverage is 100%, so the schema already documents all parameters thoroughly. The description doesn't add any parameter-specific semantics beyond what's in the schema (e.g., it doesn't explain event types further or callback URL validation). This meets the baseline of 3 for high schema coverage without extra 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 clearly states the action ('register a webhook') and resource ('to receive event notifications at an HTTPS callback URL'), making the purpose immediately understandable. It distinguishes from siblings like 'delete_webhook' and 'list_webhooks' by focusing on creation. However, it doesn't explicitly contrast with all siblings, preventing a perfect score.

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 clear context for when to use it ('to receive event notifications') and includes a prerequisite ('Requires authentication — call 'authenticate' with your sk_buy_* key first'), which is helpful guidance. However, it doesn't explicitly state when not to use it or name alternatives (e.g., 'list_webhooks' for checking existing ones), so it falls short of a 5.

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 the authentication requirement, which is crucial behavioral context. However, it doesn't mention other traits like whether the operation is idempotent, what happens if the item doesn't exist, or error conditions. For a mutation tool with zero annotation coverage, this leaves gaps in behavioral understanding.

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 with zero waste. The first sentence states the purpose and parameters, the second provides critical prerequisite information. Every word earns its place, and the structure is front-loaded with the core functionality.

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 this is a mutation tool with no annotations and no output schema, the description does well by specifying the authentication requirement. However, it doesn't describe what happens after removal (e.g., returns updated cart, confirmation message, or nothing) or error scenarios. For a tool that modifies state, more behavioral context would be beneficial.

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 100%, so the schema already fully documents both parameters (cartId and itemId). The description adds no additional parameter semantics beyond what's in the schema. The baseline score of 3 is appropriate when the schema does all the parameter documentation work.

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 specific action ('Remove an item') and resource ('from a cart'), using the exact verb from the tool name. It distinguishes from siblings like 'add_to_cart' by specifying removal rather than addition, and from 'get_cart' by being a mutation rather than a read operation.

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?

Explicitly states when to use this tool ('Remove an item from a cart by its item ID') and provides a clear prerequisite ('Requires authentication — call 'authenticate' with your sk_buy_* key first'), naming the alternative tool 'authenticate' that must be invoked beforehand.

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 behavioral disclosure. It adds some context: 'No authentication required' clarifies access requirements, and 'filters for category, brand, price range, sort order, and source platform' hints at capabilities. However, it lacks details on rate limits, pagination behavior (implied by 'page' parameter but not explained), error conditions, or response format (no output schema), leaving gaps in transparency.

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, efficient sentence that front-loads the core action ('Search the BopMarket product catalog') and key filters. It avoids redundancy and wastes no words, though it could be slightly more structured (e.g., separating filters into a list). Every part earns its place, making it highly concise.

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 complexity (10 parameters, no annotations, no output schema), the description is moderately complete. It covers the main purpose and filters but lacks details on authentication (partially addressed), response format, error handling, and usage relative to siblings. For a search tool with rich parameters, more context on behavioral aspects would improve completeness, but it's adequate as a minimum viable description.

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 100%, so the schema already documents all 10 parameters thoroughly with descriptions, defaults, and types. The description adds minimal value beyond the schema by listing filter types (e.g., 'category, brand, price range') but doesn't provide additional semantics like usage examples, constraints, or interdependencies. This meets the baseline for high schema coverage.

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 ('Search') and resource ('BopMarket product catalog'), making the purpose evident. It mentions specific filters (category, brand, price range, sort order, source platform), which helps distinguish it from siblings like 'get_product' or 'get_product_offers'. However, it doesn't explicitly differentiate from potential similar tools (e.g., if there were a 'search_products_advanced'), so it falls short of a perfect 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 provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., whether authentication is needed for certain filters), compare it to siblings like 'get_product' (for single products) or 'batch_compare' (for comparisons), or specify scenarios where it's preferred. The lack of usage context leaves the agent without clear selection criteria.

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 full burden and does well by disclosing key behavioral traits: it's a mutation operation (implied by 'Update'), requires specific authentication (merchant auth via 'authenticate'), and lists what can be updated. It doesn't mention rate limits, error conditions, or whether partial updates are allowed, but covers the essential safety and permission 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?

Two sentences with zero waste: first sentence states purpose and scope, second provides critical authentication prerequisite. Every word earns its place, and the most important information (authentication requirement) is front-loaded in the second sentence.

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 mutation tool with no annotations and no output schema, the description does well by covering purpose, scope, and authentication requirements. However, it doesn't describe what happens on success/failure, whether updates are atomic, or what the response looks like. Given the complexity of updating multiple fields, some additional behavioral context would be helpful but not essential.

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 100%, so the schema already documents all 6 parameters thoroughly. The description adds marginal value by listing the updatable fields (price, inventory, description, images, tags) which aligns with parameters, but doesn't provide additional semantic context beyond what's in the schema descriptions. Baseline 3 is appropriate when schema does the heavy lifting.

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 ('Update') and resource ('an existing listing') with specific updatable fields (price, inventory, description, images, tags). It distinguishes from sibling tools like 'create_listing' by specifying it updates existing listings rather than creating new ones.

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 context about when to use ('Requires merchant authentication — call 'authenticate' with your sk_sell_* key first'), which is crucial guidance. However, it doesn't explicitly state when NOT to use this tool or mention alternatives like 'create_listing' for new listings versus updating existing ones.

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