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

With no annotations provided, the description carries full burden for behavioral disclosure. While it indicates this is a write operation ('add billing information'), it doesn't mention required permissions, whether this is a one-time setup or can be modified, what happens if billing details already exist, or any rate limits. The description is minimal and lacks important behavioral context for a billing-related mutation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is brief (two sentences) but the second sentence 'Invoke this endpoint' is redundant and adds no value. The first sentence contains the core information but could be more efficiently structured. While not verbose, it includes unnecessary filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a billing mutation tool with 7 parameters, no annotations, and no output schema, the description is insufficient. It doesn't explain what happens after adding billing details, what format the billing information should take, whether this triggers any billing processes, or what errors might occur. The description leaves too many important contextual questions unanswered.

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. The description mentions 'billing details include the user's name, company, address, and contact information' which hints at what might go in the body parameter, but doesn't provide specific structure or format details beyond what the generic schema descriptions already indicate. 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 action ('add billing information') and resource ('for a workspace'), with specific details about what information is included (name, company, address, contact). However, it doesn't differentiate from the sibling tool '_update_billing_details_13517578e0' which appears to handle updates rather than initial addition.

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. There's no mention of prerequisites, when billing details should be added, or how this differs from the update_billing_details sibling tool. The phrase 'Invoke this endpoint' is generic and adds no contextual guidance.

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 must fully disclose behavioral traits. It mentions filtering domains but fails to describe critical aspects such as required permissions, whether this is a write operation (implied by 'add'), potential side effects, rate limits, or error handling. The description is insufficient for a tool that likely modifies DNS settings.

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 brief but inefficiently structured. The first sentence is clear, but the second sentence introduces filtering attributes without explaining how they map to parameters, and 'Invoke this endpoint' is redundant. It could be more front-loaded and eliminate unnecessary phrasing.

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 (7 parameters, no output schema, no annotations), the description is inadequate. It lacks details on behavioral traits, does not explain the return values or potential outcomes, and fails to address how the filtering attributes interact with the input schema. For a tool that adds DNS records, more context is needed.

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%, meaning all parameters are documented in the schema itself. The description adds minimal value by mentioning 'contains, status and tagIds attribute to filter domains', which loosely relates to some parameters but does not provide additional semantics beyond what the schema already covers. 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 states the tool 'adds a DMARC record to one or more domains', which provides a clear verb ('add') and resource ('DMARC record'). However, it does not differentiate from sibling tools like 'add_dns_records_13629231e0' or 'add_domain_forwarding_13520843e0', leaving ambiguity about when to use this specific DMARC-focused tool versus other DNS-related tools.

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 includes 'Use contains, status and tagIds attribute to filter domains', which implies some usage context, but it does not provide explicit guidance on when to use this tool versus alternatives (e.g., other DNS record tools), nor does it mention prerequisites or exclusions. The phrase 'Invoke this endpoint' is redundant and adds no practical guidance.

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 states 'Add DNS Records' which implies a write/mutation operation, but doesn't disclose behavioral traits like required permissions, whether it's idempotent, rate limits, or what happens on failure (e.g., partial updates). The endpoint invocation note is generic and adds no behavioral 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 short sentences, but the second sentence ('Invoke this endpoint.') is redundant and wastes space. The first sentence is front-loaded with the core purpose, but overall structure is minimal without efficient use of words to convey necessary context beyond the obvious.

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 7 parameters, no annotations, and no output schema, the description is inadequate. It lacks details on required inputs, expected outcomes, error handling, and how it relates to other DNS tools. The context signals indicate complexity, but the description doesn't compensate, leaving significant gaps for an AI 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 parameters are fully documented in the schema. The description adds no parameter-specific information beyond the generic 'for a given domain', which doesn't clarify how domain is specified (e.g., via pathParams or query). With high schema coverage, baseline 3 is appropriate as the description doesn't enhance parameter understanding.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the action ('Add DNS Records') and resource ('for a given domain'), which is clear but vague. It doesn't specify what types of DNS records or how many, and doesn't differentiate from siblings like 'update_dns_records_13629370e0' or 'delete_dns_records_14109023e0'. The phrase 'Invoke this endpoint' is redundant and adds no purpose 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?

No guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., domain ownership), when not to use it, or refer to sibling tools like 'update_dns_records_13629370e0' for modifications or 'check_dns_records_13521093e0' for verification. The description provides only basic functional 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'enables redirection,' implying a write operation, but does not specify required permissions, whether the change is reversible, potential side effects, or rate limits. The description is minimal and fails to provide essential behavioral context for a tool that likely modifies domain settings, which is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise with two sentences: one states the purpose, and the other is a generic instruction ('Invoke this endpoint'). It is front-loaded with the core functionality. However, the second sentence is redundant and does not add value, slightly reducing efficiency, but overall, it is well-structured and avoids unnecessary verbosity.

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 complexity of a tool with 7 parameters, no annotations, and no output schema, the description is incomplete. It lacks details on behavioral aspects (e.g., auth needs, effects), usage context, and does not compensate for the absence of structured fields. For a tool that likely performs a write operation on domains, this minimal description is inadequate to guide an agent 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?

The input schema has 100% description coverage, so the schema already documents all 7 parameters (e.g., 'method', 'path', 'body'). The description does not add any parameter-specific details beyond what the schema provides, such as explaining how 'method' or 'path' relate to domain forwarding. With high schema coverage, the baseline score of 3 is appropriate, as the description adds no extra semantic 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: 'Enables redirection from one or more registered domains to a specified destination domain.' It specifies the verb ('enables redirection') and resource ('registered domains'), making it understandable. However, it does not explicitly differentiate from sibling tools like 'enable_email_forwarding_13521023e0' or 'connect_domain_with_zapmail_13521006e0', which might involve similar domain-related actions, so it lacks sibling 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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites (e.g., needing registered domains), exclusions, or compare it to siblings such as 'enable_email_forwarding_13521023e0'. The phrase 'Invoke this endpoint' is generic and does not add contextual usage information, leaving the agent without clear direction.

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 action ('Associates') but fails to describe critical traits like required permissions, whether this is a write operation, potential side effects, rate limits, or error handling. This leaves significant gaps in understanding 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?

The description is brief with two sentences, but the second sentence ('Invoke this endpoint.') is redundant and adds no value, wasting space. The first sentence is clear but could be more front-loaded with critical details, making the structure somewhat inefficient.

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 complexity of 7 parameters, no annotations, and no output schema, the description is incomplete. It lacks details on behavioral traits, usage context, and expected outcomes, which are essential for a tool that likely involves configuration changes. This inadequately supports agent decision-making.

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, so the schema fully documents all 7 parameters. The description adds no additional meaning beyond the schema, such as explaining how parameters like 'method' or 'serviceProvider' relate to the tool's purpose. This meets the baseline for high schema coverage but does not enhance parameter understanding.

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 ('Associates') and resources ('Google OAuth Client ID' with 'domain IDs'), making the purpose specific and understandable. However, it does not explicitly differentiate from sibling tools like 'add_third_party_account' or 'custom_oauth_23834066e0', which might involve similar OAuth or domain-related operations, leaving some ambiguity in sibling context.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives, such as other domain or OAuth-related tools in the sibling list. It lacks explicit context, prerequisites, or exclusions, offering only a generic invocation statement without usage 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, the description carries the full burden of behavioral disclosure. It implies a write operation ('Add credentials') but doesn't specify authentication requirements, potential side effects (e.g., overwriting existing credentials), rate limits, or error handling. This leaves significant gaps for a tool that likely modifies system state.

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 no wasted words. It directly states the tool's function without unnecessary elaboration, 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?

For a tool that adds credentials (a mutation operation) with no annotations and no output schema, the description is insufficient. It doesn't explain what happens after adding credentials (e.g., verification process, return values, or error cases), leaving critical behavioral aspects undocumented.

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 three parameters (email, password, app) with their types and constraints. The description adds no additional parameter semantics beyond what's in the schema, 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 action ('Add credentials') and target ('for a third-party export integration'), making the purpose understandable. It distinguishes from siblings like 'add_third_party_account_details_13490752e0' by focusing on credential addition rather than details, but doesn't explicitly contrast them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives like 'add_third_party_account_details_13490752e0' or other account-related tools. The description lacks context about prerequisites, such as needing an existing integration setup or specific permissions.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'add a third-party account' and 'export your mailboxes,' implying a write operation, but fails to detail critical traits such as required permissions, authentication needs, side effects (e.g., data sharing), or error handling. This leaves significant gaps in understanding the tool's behavior and risks.

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 brief (two sentences) but inefficiently structured. The first sentence is vague, and the second ('Supported apps: Invoke this endpoint.') is confusing and adds little value. While not verbose, it lacks front-loaded clarity and wastes space on unhelpful content, making it mediocre in conciseness.

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 (7 parameters, no annotations, no output schema), the description is incomplete. It fails to explain the purpose in detail, lacks usage context, omits behavioral traits, and provides no insight into return values or errors. This leaves the agent poorly equipped to use the tool effectively in a real-world scenario.

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, documenting all 7 parameters (e.g., 'method' for HTTP override, 'serviceProvider' with enum). The description adds no parameter-specific information beyond what the schema provides, so it meets the baseline of 3 for adequate 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 states 'add a third-party account where you want to export your mailboxes,' which provides a vague purpose (adding an account for mailbox export) but lacks specificity about what 'add' entails (e.g., linking, configuring, authenticating). It does not clearly distinguish from siblings like 'update_third_party_account_details_13490787e0' or 'add_billing_details_13490005e0,' making it a tautology that restates the title without meaningful 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?

The description includes 'Supported apps: Invoke this endpoint,' which is unclear and provides no practical guidance on when to use this tool versus alternatives. It does not mention prerequisites, context (e.g., after setting up export), or exclusions, leaving the agent with no actionable usage instructions beyond a generic invocation hint.

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 states the tool 'allocates domains' and 'enables DNS Shield protection,' implying a write/mutation operation, but lacks details on permissions, side effects (e.g., billing implications), rate limits, or error handling. The description is too vague for a tool that likely modifies subscription state, leaving significant behavioral 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 concise and front-loaded, with two sentences that directly state the tool's purpose and action. There's no unnecessary fluff, and each sentence contributes to understanding the tool's function. However, the final sentence 'Invoke this endpoint' is redundant and adds no value, slightly detracting from perfect efficiency.

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 complexity of a domain allocation tool with no annotations and no output schema, the description is insufficient. It doesn't explain what 'DNS Shield protection' entails, how allocation interacts with subscription limits, what the response looks like, or potential errors. For a mutation tool with rich sibling context, more detail is needed to guide effective 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?

The input schema has 100% description coverage, so the schema already documents all 7 parameters (e.g., 'method', 'path', 'body'). The description adds no parameter-specific information beyond implying domains need to be allocated, which doesn't clarify how parameters like 'body' or 'query' should be used for this operation. Baseline 3 is appropriate as 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: 'Allocate domains to your DNS Shield LTD subscription slots and enable DNS Shield protection.' It specifies the verb ('allocate'), resource ('domains'), and outcome ('enable DNS Shield protection'), making the action explicit. However, it doesn't differentiate from sibling tools like 'get_allocated_domains_for_subscription_25781672e0' or 'purchase_dns_shield_25782088e0', 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. It mentions 'available LTD plan capacity' but doesn't clarify prerequisites, such as needing a subscription or available slots, nor does it reference sibling tools like 'get_available_slots_25781438e0' or 'get_eligible_domains_25781361e0' for context. The phrase 'Invoke this endpoint' is generic and adds no 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?

No annotations are provided, so the description carries full burden. It mentions this is an 'endpoint' but doesn't disclose whether this is a read or write operation, what permissions are needed, whether it's idempotent, what happens on success/failure, or any rate limits. 'Assign new mailboxes' implies a write operation but lacks crucial behavioral 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 very concise with only two short sentences. However, the second sentence 'Invoke this endpoint' adds minimal value and could be considered redundant. The structure is front-loaded with the core purpose 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?

For a tool with 7 parameters, no annotations, no output schema, and complex sibling relationships, the description is inadequate. It doesn't explain what the tool returns, what 'assign' means operationally, or provide any context about the domain/mailbox relationship. The 100% schema coverage helps with parameters but doesn't compensate for missing behavioral and contextual information.

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 all 7 parameters. The description adds no parameter-specific information beyond what's in the schema. The baseline is 3 when schema does the heavy lifting, even though the description provides zero parameter semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'assign new mailboxes to specific domains' which is a tautology of the tool name/title 'Assign New Mailboxes to Domains'. It doesn't provide any additional specificity about what 'assign' means operationally or how this differs from similar sibling tools like 'assign_prewarmed_mailboxes_25774338e0' or 'create_mailboxes_for_zero_domains'.

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 simply says 'Invoke this endpoint' without any context about prerequisites, appropriate scenarios, or distinctions from the many sibling tools related to mailboxes and domains in the list.

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 states that assigning domains leads to mailbox transfers, implying a write operation, but lacks critical details: whether this requires specific permissions, if it's idempotent, what happens on failure, or any rate limits. The description is too vague for a tool that likely modifies account state, leaving significant behavioral 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 concise and front-loaded, with two sentences that directly state the tool's purpose and outcome. The third sentence ('Invoke this endpoint.') is redundant but doesn't significantly detract. Overall, it's efficient with minimal waste, though it could be slightly more structured by separating purpose from invocation.

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 (7 parameters, no annotations, no output schema), the description is inadequate. It lacks details on behavioral traits, error handling, prerequisites (e.g., needing a pre-warmed subscription), and doesn't explain the relationship between domains and slots. For a tool that likely involves account modifications, more context is needed to ensure safe and correct usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% description coverage, so the schema fully documents all 7 parameters (e.g., method, path, body). The description adds no parameter-specific information beyond implying domain assignment, which doesn't clarify how to use the schema parameters effectively. This meets the baseline of 3, as the schema does the heavy lifting, but the description doesn't enhance understanding of parameter usage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'assigns pre-warmed domains to fill available slots in your pre-warmed subscription' and mentions that 'mailboxes are automatically transferred to your account.' It specifies the verb (assign), resource (pre-warmed domains), and outcome (mailbox transfer). However, it doesn't explicitly differentiate from sibling tools like 'assign_new_mailboxes_to_domains_13490321e0' or 'get_prewarmed_domains_25774188e0', 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 minimal guidance: it mentions 'available slots in your pre-warmed subscription,' implying usage when slots exist, but offers no explicit when-to-use rules, prerequisites, or alternatives. It doesn't clarify when to use this versus similar tools like 'assign_new_mailboxes_to_domains_13490321e0' or 'purchase_prewarmed_subscription_25774263e0', leaving the agent with insufficient context for decision-making.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions the tool updates mailboxes but does not cover critical aspects like required permissions, whether changes are reversible, rate limits, error handling for partial failures, or the response format. For a mutation tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the key information ('Update multiple mailboxes') and avoids redundancy. Every word contributes to the core message without unnecessary elaboration, making it appropriately sized for its 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 complexity of a bulk mutation tool with no annotations and no output schema, the description is insufficient. It lacks details on behavioral traits (e.g., permissions, side effects), usage guidelines, and output expectations, leaving the agent with incomplete context for safe and effective tool invocation.

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 three parameters ('updates', 'workspaceKey', 'serviceProvider'). The description adds minimal value by hinting at the types of properties ('new names, usernames, or other properties') but does not provide additional syntax, constraints, or examples beyond what the schema already specifies.

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 ('update multiple mailboxes') and scope ('in a single operation'), specifying the types of properties that can be modified ('new names, usernames, or other properties'). However, it does not explicitly differentiate from sibling tools like 'update_mailbox_13490429e0' (singular update), though the 'bulk' and 'multiple' terminology implies a distinction.

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, such as the sibling 'update_mailbox_13490429e0' for single updates. It lacks context about prerequisites, constraints, or scenarios where bulk updates are appropriate, offering only a basic functional statement without 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?

No annotations are provided, so the description carries full burden. It mentions 'invoke' but doesn't disclose critical behavioral traits such as authentication requirements, rate limits, error handling, or whether it's read-only or destructive. For a generic API tool with 8 parameters, this lack of context is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core purpose without any wasted words. Every part earns its place by specifying the action, target, and key input methods.

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 (8 parameters, no output schema, no annotations), the description is incomplete. It lacks details on behavioral aspects like authentication, side effects, or response format, making it inadequate for safe and effective use by an AI agent in this 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?

Schema description coverage is 100%, so the schema fully documents all 8 parameters. The description adds no additional meaning beyond implying 'slug' and 'path' as alternative ways to specify endpoints, but doesn't clarify their relationship or usage scenarios. Baseline 3 is appropriate as 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 specific action ('invoke') and target resource ('any Zapmail API endpoint'), with explicit mechanisms ('documentation slug or explicit path'). It distinctly differentiates from sibling tools by being a generic API caller rather than a specific operation like 'add_billing_details' or 'get_domain_availability'.

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 context by specifying 'any Zapmail API endpoint,' suggesting it's for general-purpose API calls. However, it doesn't explicitly state when to use this versus more specific sibling tools (e.g., 'call_endpoint' vs. 'get_domain_availability') or provide exclusions, leaving some ambiguity for the 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states 'Cancel a user subscription,' implying a destructive mutation, but fails to detail critical aspects like required permissions, whether the cancellation is immediate or pending, refund policies, or error handling. This leaves significant gaps in understanding 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?

The description is concise with two sentences, front-loading the main action ('Cancel a user subscription') and avoiding unnecessary details. However, the second sentence ('Invoke this endpoint.') is somewhat redundant and could be omitted without losing clarity, slightly reducing efficiency.

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 complexity of a cancellation tool with 7 parameters, no annotations, and no output schema, the description is insufficient. It lacks details on behavioral traits, parameter usage, and expected outcomes, making it incomplete for safe and effective tool invocation in this 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 mentions 'by providing its subscription ID,' which hints at a parameter, but the input schema has 7 parameters with 100% coverage, including 'method,' 'path,' and others not related to subscription ID. The description does not add meaningful semantics beyond the schema, such as explaining how parameters interact or their relevance to cancellation, so it 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 ('Cancel') and resource ('a user subscription'), making the purpose specific and understandable. However, it does not explicitly differentiate from sibling tools like 'cancel_subscription_25783127e0' or 'remove_mailboxes_on_next_renewal_13490521e0', which might handle similar cancellation actions, so it lacks sibling 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?

The description provides no guidance on when to use this tool versus alternatives, such as other cancellation-related siblings or tools for modifying subscriptions. It mentions 'Invoke this endpoint,' but this is generic and does not offer context-specific usage instructions or 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 states the tool cancels subscriptions 'immediately', which is useful behavioral context. However, it lacks details on permissions required, whether cancellation is reversible, refund policies, or what happens to associated resources (e.g., domains, mailboxes). For a destructive operation with zero annotation coverage, this is insufficient.

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 brief and front-loaded with the core action, but the second sentence ('Invoke this endpoint.') is redundant and adds no value. Otherwise, it's efficiently structured with two substantive sentences.

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 destructive tool with no annotations and no output schema, the description is incomplete. It doesn't explain what 'cancel' entails (e.g., immediate termination, prorated charges), what data is returned, or error conditions. Given the complexity and lack of structured data, more context is needed for safe 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 fully documents all 7 parameters. The description adds no parameter-specific information beyond implying a subscription identifier might be needed (though not stated). With high schema coverage, the baseline is 3, as the description doesn't compensate but doesn't detract either.

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 ('Cancel') and resource ('DNS Shield subscription'), specifying it works for both Monthly and Lifetime Deal plans. However, it doesn't distinguish from sibling 'cancel_subscription_13489478e0', which appears to be a similar tool, leaving some ambiguity about when to use one versus the other.

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, prerequisites, or exclusions. It mentions applicability to Monthly and LTD plans but doesn't clarify if there are other subscription types or contexts where it shouldn't be used.

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 mentions 'Check DNS Records' which implies a read operation, but doesn't disclose behavioral traits like authentication needs, rate limits, error handling, or what 'Check' entails (e.g., validation, retrieval). The description is too vague to inform the agent adequately.

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 only one sentence with redundant phrasing ('Invoke this endpoint') that doesn't earn its place. It's under-specified rather than concise, failing to provide necessary context or structure for effective use.

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 complexity of 7 parameters, no annotations, and no output schema, the description is incomplete. It doesn't explain what the tool returns, how to interpret results, or any dependencies, leaving significant gaps for a tool that likely interacts with DNS systems.

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 all 7 parameters. The description adds no parameter semantics beyond what's in the schema, such as explaining how to specify the domain or DNS record types. Baseline 3 is appropriate as 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 states 'Check DNS Records for Domain' which is a clear verb+resource, but it's followed by 'Invoke this endpoint' which is tautological and adds no value. It doesn't differentiate from sibling tools like 'get_dns_records_13627177e0' or 'add_dns_records_13629231e0', leaving the specific purpose ambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. With siblings like 'get_dns_records_13627177e0' and 'add_dns_records_13629231e0', the description offers no context for selection, prerequisites, or 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool checks availability and returns pricing, but lacks details on rate limits, authentication requirements, error handling, or what specific pricing information is included (e.g., registration fees, renewal costs). This is inadequate for a tool that likely involves external API calls.

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 purpose without unnecessary words. Every part of the sentence earns its place by specifying the action, resource, and outcome.

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 (involves external checks and pricing), lack of annotations, and no output schema, the description is insufficient. It does not explain the return format (e.g., structured data with availability status and price details), error cases, or dependencies, leaving significant gaps for the agent to operate 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 input schema fully documents both parameters ('domainName' and 'years'). The description adds no additional semantic context beyond what the schema provides, such as domain format requirements or how 'years' affects pricing. Baseline 3 is appropriate as the schema handles parameter documentation.

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 ('Check if a domain is available for registration') and the resource ('domain'), with the added outcome of returning pricing. It distinguishes itself from sibling tools like 'check_domain_availability_batch' by implying this is for single-domain checks, though not explicitly stated.

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 does not mention sibling tools like 'check_domain_availability_batch' for bulk operations or 'purchase_domains' for subsequent actions, leaving the agent without context for tool selection.

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

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

With no annotations provided, the description carries full burden but offers minimal behavioral insight. It mentions checking 'availability and pricing' but doesn't disclose rate limits, authentication requirements, response format, error conditions, or whether this is a read-only operation. For a batch operation with potential cost implications, this is inadequate disclosure.

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 communicates the core functionality without wasted words. It's appropriately sized for a straightforward batch checking tool and front-loads the 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 a batch domain checking tool with no annotations and no output schema, the description is insufficient. It doesn't explain what information is returned (availability status, pricing details, error handling for invalid domains), nor does it address behavioral aspects like rate limits or authentication. The context signals indicate moderate complexity (2 parameters), but the description fails to provide necessary operational 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?

Schema description coverage is 100%, so the schema fully documents both parameters ('domains' array and 'years' number). The description adds no additional parameter context beyond implying batch processing through 'multiple domains at once.' No syntax, format, or constraint details are provided beyond what's in the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Check availability and pricing') and resource ('multiple domains at once'), making the purpose immediately understandable. It distinguishes from the sibling 'check_domain_availability' by specifying batch capability, though it doesn't explicitly contrast with other domain-related tools like 'purchase_domains' or 'get_available_domains'.

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, appropriate contexts, or compare with similar tools like 'check_domain_availability' (single domain) or 'purchase_domains' (buying domains). The agent must infer usage from the name and description 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?

No annotations are provided, so the description carries the full burden. It states the tool clears all cached data, implying a destructive operation, but doesn't disclose critical behavioral traits like whether this requires admin permissions, if it's reversible, potential performance impact, or rate limits. The description is minimal and misses key operational details 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 a single, efficient sentence that front-loads the core action ('Clear all cached data') and follows with the purpose. There is no wasted verbiage, 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 complexity as a destructive mutation with no annotations and no output schema, the description is incomplete. It lacks details on permissions, side effects, error conditions, and return values, which are essential for safe and effective use. The description does not compensate for the absence of structured data.

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 single parameter 'confirm' documented as 'Confirmation required to clear cache.' The description adds no additional parameter semantics beyond this, such as explaining why confirmation is needed or providing examples. Baseline 3 is appropriate since the schema adequately covers the parameter.

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 ('Clear all cached data') and the resource ('system cache'), with the purpose to 'free memory and ensure fresh data retrieval.' It distinguishes from siblings by focusing on cache management rather than domain, subscription, or mailbox operations, though it doesn't explicitly differentiate from tools like 'health_check' or 'get_server_info' that might involve system status.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. The description mentions the outcome ('free memory and ensure fresh data retrieval') but doesn't specify scenarios, prerequisites, or exclusions, such as during high-load periods or after configuration changes. Without this, the agent lacks context for optimal invocation.

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 fails to describe any behavioral traits, such as whether this is a read or write operation, what permissions are required, potential side effects (e.g., domain configuration changes), rate limits, or error handling. The description is too vague to inform the agent about 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?

While the description is brief, it is under-specified rather than concise. The single sentence '# Connect Domain with Zapmail Invoke this endpoint' is repetitive and lacks informative content, failing to front-load useful information. It wastes space without adding value, making it inefficient rather than appropriately sized.

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 (7 parameters, no annotations, no output schema), the description is completely inadequate. It provides no context on what the tool does, how to use it, what it returns, or its behavioral implications. For a tool that likely involves domain configuration with Zapmail, this leaves critical gaps in 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 100% description coverage, so the schema already documents all 7 parameters thoroughly. The description adds no additional meaning or context about the parameters, such as typical values or usage examples. Given the high schema coverage, a baseline score of 3 is appropriate, as the description doesn't compensate but also doesn't detract from the schema's documentation.

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 '# Connect Domain with Zapmail Invoke this endpoint' is essentially a tautology that restates the tool name and title. It provides no specific verb or resource details about what 'connect' actually means operationally, nor does it distinguish this tool from its sibling 'connect_domain_with_zapmail_new_18248433e0'. This fails to clarify the tool's purpose beyond its name.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description offers no guidance on when to use this tool versus alternatives, such as the sibling tool 'connect_domain_with_zapmail_new_18248433e0' or other domain-related tools like 'add_dns_records_13629231e0'. It lacks any context, prerequisites, or exclusions, leaving the agent with no usage direction.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states to 'use this endpoint' and 'invoke this endpoint,' offering no insight into whether this is a read/write operation, authentication needs, side effects, rate limits, or expected outcomes. This is inadequate for a tool with 7 parameters and potential mutative 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?

While brief, the description is under-specified and repetitive ('Use this endpoint... Invoke this endpoint.'), failing to convey necessary information efficiently. It lacks front-loaded clarity and wastes space on tautological statements instead of earning its place with actionable details.

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 (7 parameters, no annotations, no output schema), the description is severely incomplete. It does not explain what 'connect domain to Zapmail' means, what the tool does behaviorally, or what to expect upon invocation, leaving critical gaps for an AI agent to operate 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 input schema already documents all 7 parameters thoroughly (e.g., 'method' with enum, 'path' for API override). The description adds no additional meaning or context about parameters, such as which are essential for connecting a domain, but the high schema coverage justifies the 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 'Use this endpoint to connect domain to Zapmail. Invoke this endpoint.' is tautological—it essentially restates the tool's name/title ('Connect Domain with Zapmail') without adding specificity. It lacks a clear verb+resource distinction and does not differentiate from sibling tools (e.g., 'connect_domain_with_zapmail_13521006e0'), making it vague about what 'connect' entails operationally.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. The description does not mention prerequisites, context, or exclusions, and it fails to reference sibling tools (like the similar 'connect_domain_with_zapmail_13521006e0'), leaving the agent with no basis for selection.

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

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

With no annotations provided, the description carries full burden for behavioral disclosure. While it clearly indicates this is a creation/mutation operation, it lacks critical behavioral information: what permissions are required, whether this operation is reversible, what happens if domains already have mailboxes, rate limits, or what the response looks like. For a mutation tool with zero annotation coverage, this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that immediately conveys the tool's purpose without any wasted words. It's appropriately sized and front-loaded with the 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 a mutation tool with no annotations and no output schema, the description is incomplete. It doesn't address critical behavioral aspects like permissions, reversibility, error conditions, or response format. While the purpose is clear, the lack of behavioral transparency makes this inadequate 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?

The schema description coverage is 100% with the single parameter 'countPerDomain' well-documented in the schema. The description doesn't add any parameter information beyond what's already in the schema (it doesn't explain the parameter at all). With high schema coverage, the baseline score of 3 is appropriate as 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 specific action ('Create N mailboxes') on specific resources ('every domain in the active workspace with zero mailboxes'). It distinguishes itself from sibling tools like 'assign_new_mailboxes_to_domains_13490321e0' or 'assign_prewarmed_mailboxes_25774338e0' by focusing exclusively on domains that currently have zero mailboxes.

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: when you want to create mailboxes on domains that currently have none in the active workspace. However, it doesn't explicitly mention when NOT to use it or name specific alternatives among the many sibling tools, which prevents 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?

No annotations are provided, so the description carries full burden. It mentions 'create' (implying mutation) and a uniqueness constraint, but lacks critical behavioral details: required permissions, rate limits, error conditions, or what the response contains. For a mutation tool with zero annotation coverage, this is insufficient.

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 brief but includes redundant phrasing ('Invoke this endpoint') and could be more front-loaded. It efficiently covers purpose and a constraint in two sentences, but the last sentence adds no value, reducing overall efficiency.

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 is incomplete. It lacks details on authentication, response format, error handling, and how parameters map to the creation process. Given the complexity (7 parameters, nested objects), more context is needed for effective 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 documents all 7 parameters. The description adds no parameter-specific information beyond implying a workspace name is needed for uniqueness. It doesn't explain which parameters are relevant for creation versus overrides, resulting in baseline adequacy.

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: 'create a new workspace for your Zapmail account' with specific details about what workspaces can hold (domains, mailboxes, user-specific settings) and a uniqueness constraint. It distinguishes from siblings like 'list_workspaces' and 'update_workspace' by focusing on creation, though it doesn't explicitly contrast with them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides minimal guidance: it only states 'Use this endpoint to create a new workspace' without specifying when to use it versus alternatives like 'update_workspace' or prerequisites. No explicit when-not-to-use or sibling comparisons are included, leaving usage context vague.

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 returns a Stripe checkout session link, which hints at a read-only operation (since it 'returns' something), but it does not clarify authentication needs, rate limits, side effects, or error handling. The description is minimal and lacks behavioral details beyond the basic output, leaving significant gaps for a tool with 7 parameters.

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 sentence that is front-loaded with the tool's purpose, but it includes an unnecessary markdown link and lacks structure. It is concise in length but could be more efficient by omitting the link and focusing on clarity. The sentence earns its place by stating the action, but the mismatch with the tool name reduces its effectiveness.

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 complexity (7 parameters, no annotations, no output schema), the description is incomplete. It explains what the tool does at a high level but fails to address how the parameters interact with the described endpoint, what the output entails beyond a link, or any prerequisites. For a tool named 'Custom OAuth' with generic parameters, more context is needed to guide proper usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema fully documents all 7 parameters (e.g., method, path, body). The description does not add any parameter-specific semantics beyond what the schema provides; it only mentions the endpoint's purpose without explaining how parameters like 'method' or 'path' relate to the described functionality. Baseline 3 is appropriate as the schema handles parameter documentation, but the description does not compensate with additional context.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'This endpoint returns a stripe checkout session link to add balance to a user's wallet', which specifies a verb ('returns') and resource ('stripe checkout session link'), but the tool name and title ('Custom OAuth') are completely unrelated to payments/wallet functionality, creating confusion. It does not distinguish from siblings, as many tools handle payments (e.g., 'add_billing_details_13490005e0'), and the mismatch with the name/title makes it tautological in a misleading way.

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 a specific endpoint for adding wallet balance but does not explain why this tool is named 'Custom OAuth' or how it relates to OAuth functionality, nor does it reference any sibling tools for context. Usage is implied only for the described endpoint, with no exclusions or alternatives stated.

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

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

No annotations are provided, so the description must fully disclose behavioral traits. It only states the action ('Delete DNS Record API Invoke this endpoint') without mentioning critical aspects like required permissions, whether the deletion is permanent or reversible, rate limits, or expected response format. For a destructive operation with zero annotation coverage, this is inadequate and fails to inform the agent of risks or behaviors.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, poorly structured sentence ('Delete DNS Record API Invoke this endpoint') that is both redundant and unclear. It lacks front-loading of key information and wastes space without adding value. While concise, it fails to communicate effectively, making it under-specified rather than efficiently informative.

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 destructive tool with no annotations and no output schema, the description is severely incomplete. It does not explain what the tool does beyond its name, omits behavioral context, and provides no guidance on usage or parameters. Given the complexity implied by 7 parameters and the lack of structured support, this description fails to meet minimum requirements for 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 100% description coverage, detailing all 7 parameters (e.g., method override, path, body). The description adds no parameter-specific information beyond what the schema provides, such as example values or contextual usage. Given the high schema coverage, a baseline score of 3 is appropriate, as the schema handles 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 'Delete DNS Record API Invoke this endpoint' is tautological—it essentially restates the tool's name and title without adding clarity. It fails to specify what resource is being deleted (e.g., specific DNS records by type or domain) or how it differs from sibling tools like 'remove_domain_connection_requests_18247913e0' or 'update_dns_records_13629370e0'. This lack of specificity leaves the purpose vague.

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. With siblings like 'check_dns_records_13521093e0' for verification and 'update_dns_records_13629370e0' for modifications, there is no indication of prerequisites, exclusions, or appropriate contexts for deletion. This absence of usage instructions is a significant gap.

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 must fully disclose behavioral traits. It adds nothing about safety, permissions, rate limits, or what 'domain with filter' entails. The vague statement fails to inform the agent about the tool's behavior or potential side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

While concise with a single sentence, the description is under-specified and fails to convey useful information. It lacks front-loaded clarity and wastes the opportunity to explain the tool's purpose, making it ineffective despite its brevity.

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 (7 parameters, no annotations, no output schema), the description is completely inadequate. It does not compensate for the lack of structured data, leaving the agent without necessary context for proper tool invocation.

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 all 7 parameters. The description adds no additional meaning beyond what the schema provides, such as explaining how parameters interact or typical use cases. 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 'Invoke this endpoint' is a tautology that merely restates the tool's function without specifying what it actually does. It fails to distinguish this tool from sibling tools like 'call_endpoint' or explain what 'domain with filter' means, providing no meaningful purpose statement.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. With sibling tools like 'call_endpoint' and many domain-specific tools (e.g., 'retrieve_all_domains_with_filters_26049361e0'), the description offers no context for selection, leaving the agent without usage direction.

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 must fully disclose behavioral traits. It mentions enabling or disabling auto-recharge, implying a mutation operation, but fails to describe critical aspects like authentication requirements, rate limits, side effects (e.g., changes to billing), or error handling. This leaves significant gaps in understanding the tool's behavior beyond basic functionality.

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 concise with two sentences: one stating the purpose and another instructing invocation. It is front-loaded with the core functionality, avoiding unnecessary details. However, the second sentence 'Invoke this endpoint' is somewhat redundant, slightly reducing efficiency.

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 complexity of a mutation tool (enabling/disabling auto-recharge) with no annotations and no output schema, the description is incomplete. It lacks details on behavioral traits, expected outcomes, error scenarios, and how it fits within the broader context of wallet management, making it insufficient for safe and effective use by an AI 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?

The input schema has 7 parameters with 100% description coverage, so the schema already documents each parameter's purpose and constraints. The description does not add any semantic details about parameters, such as which ones are required for enabling/disabling auto-recharge or how they interact. This meets the baseline score since the schema handles 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 states the tool 'allows users to enable or disable auto-recharge for their wallet', which provides a clear verb ('enable or disable') and resource ('auto-recharge for their wallet'). However, it does not differentiate from sibling tools like 'get_wallet_balance_13490707e0' or 'wallet_balance', which might be related but serve different purposes, making it somewhat vague in comparison.

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 includes 'Invoke this endpoint', which implies usage but offers no guidance on when to use this tool versus alternatives, such as other wallet-related tools in the sibling list. There is no mention of prerequisites, conditions, or exclusions, leaving the agent with minimal context for decision-making.

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 for behavioral disclosure. It states the tool enables catch-all forwarding but doesn't cover critical aspects: whether this is a mutating operation (likely yes, given 'Add'), permission requirements, rate limits, side effects (e.g., impact on existing email routing), or what happens on success/failure. The description is functional but lacks operational context needed for safe invocation.

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 efficiently structured in two sentences: the first explains the functionality, and the second provides a generic invocation instruction. It's front-loaded with the core purpose and avoids unnecessary elaboration. However, the second sentence ('Invoke this endpoint') is somewhat redundant given the tool context, slightly reducing conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool that likely performs a mutating operation (enabling catch-all emails) with 7 parameters, no annotations, and no output schema, the description is insufficient. It lacks details on behavioral traits (e.g., idempotency, error handling), expected inputs/outputs, and dependencies. The high parameter count and absence of structured safety information make this description incomplete for reliable 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 fully documents all 7 parameters. The description adds no parameter-specific information beyond implying domain and recipient parameters (via 'your domains' and 'specified recipient'), but these aren't mapped to actual schema properties like 'pathParams' or 'body'. Baseline 3 is appropriate as the schema does the heavy lifting, though the description doesn't compensate with additional semantic context.

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: 'Add catch-all email functionality for your domains' with the specific action of forwarding undefined addresses to a specified recipient. It uses a specific verb ('Add') and resource ('catch-all email functionality'), but doesn't explicitly differentiate from sibling tools like 'enable_email_forwarding_13521023e0' or 'remove_catch_all_emails_13521079e0' beyond the enable/remove distinction.

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., needing domains configured), exclusions, or compare it to related tools like 'enable_email_forwarding_13521023e0' or 'add_domain_forwarding_13520843e0'. The phrase 'Invoke this endpoint' is generic instruction, not contextual guidance.

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 states this is an enablement action ('enables email forwarding'), implying a write/mutation operation, but doesn't disclose critical behavioral traits: whether it requires specific permissions, if it's idempotent, what happens to existing forwarding settings, rate limits, or error conditions. The description is insufficient for a mutation tool with zero annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is appropriately concise with three sentences that efficiently explain the tool's function. The first sentence states the purpose, the second explains email forwarding, and the third is a generic call-to-action. While 'Invoke this endpoint' adds little value, the overall structure is front-loaded and wastes minimal space.

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 7 parameters, no annotations, and no output schema, the description is incomplete. It explains what email forwarding is but doesn't cover behavioral aspects (permissions, side effects), parameter usage, expected outcomes, or error handling. The context signals indicate significant complexity that the description fails to address adequately.

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 no parameter-specific information beyond what's already in the schema (which has 100% coverage). It mentions 'one or more registered domains' and 'designated recipient address', but these don't map to any of the 7 documented parameters (e.g., method, path, body). With complete schema coverage, the baseline score of 3 is appropriate as the description doesn't enhance parameter understanding.

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: 'enables email forwarding for one or more registered domains' and explains what email forwarding does ('redirects all incoming emails... to a designated recipient address'). It distinguishes from some siblings like 'remove_email_forwarding_13521037e0' by specifying the enable action, though it doesn't explicitly differentiate from all similar tools like 'add_domain_forwarding_13520843e0'.

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., domain registration status), when not to use it, or compare it to sibling tools like 'add_domain_forwarding_13520843e0' or 'enable_catch_all_emails_13521061e0'. The phrase 'Invoke this endpoint' is generic and adds no contextual guidance.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool provides 'AI-powered guidance' but doesn't clarify what that entails—e.g., whether it's advisory only, requires specific permissions, has rate limits, or returns structured vs. free-form output. This leaves significant gaps in understanding 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?

The description is a single, efficient sentence that front-loads the core purpose without unnecessary details. It avoids redundancy and wastes no words, making it easy 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?

Given the complexity of providing 'AI-powered guidance' with four parameters and no output schema, the description is insufficient. It doesn't explain the nature of the guidance (e.g., format, depth), potential constraints, or how parameters influence the output, leaving the agent with incomplete context for effective 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 input schema already documents all four parameters (goal, platform, mailboxes, filters) with descriptions. The tool description adds no additional meaning or context about these parameters beyond what the schema provides, meeting 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 tool's purpose: 'Get AI-powered guidance for export operations including best practices and recommendations.' It specifies the verb ('Get') and resource ('guidance for export operations'), making the intent unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'get_export_info' or 'get_export_scenario', which appear related, 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 no guidance on when to use this tool versus alternatives. It doesn't mention any prerequisites, exclusions, or comparisons to sibling tools such as 'export_mailboxes_13490737e0' or 'validate_export_request', leaving the agent without context for tool selection.

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

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

No annotations are provided, so the description carries the full burden. It mentions exporting to third-party applications or CSV, but doesn't disclose critical behavioral traits: whether this is a read-only or destructive operation, authentication requirements, rate limits, output format details, or side effects. The phrase 'Invoke this endpoint' adds no value. For a tool with potential data export implications, this lack of transparency is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is brief with two sentences, but the second sentence ('Invoke this endpoint.') is redundant and adds no value. The first sentence is front-loaded with the core purpose, but overall structure is minimal without efficient elaboration. It's concise but under-specified, not optimally structured for clarity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations, no output schema, and 7 parameters, the description is incomplete. It doesn't cover behavioral aspects, usage context, or output expectations. For a tool that likely involves data export with multiple configurable parameters, this description leaves too many gaps for effective agent use, failing to compensate for the lack of structured metadata.

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 all 7 parameters (e.g., method, path, body). The description adds no parameter-specific information beyond the general export purpose. It doesn't explain how parameters like 'method' or 'serviceProvider' relate to the export functionality. Baseline is 3 since the schema does the heavy lifting, but the description fails to add meaningful semantic context.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the tool exports mailboxes to third-party applications or as CSV files, which provides a general purpose. However, it's vague about the specific mechanism (e.g., what 'export' entails operationally) and doesn't differentiate from sibling tools like 'get_export_info' or 'get_export_scenario', which might be related. It uses the verb 'export' with the resource 'mailboxes', but lacks specificity on scope or 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 provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, context (e.g., after retrieving mailboxes), or exclusions. With many sibling tools like 'retrieve_all_mailboxes' and 'search_mailboxes', there's no indication of how this export tool fits into a workflow or when it's appropriate compared to other export-related 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 of behavioral disclosure. It states the tool generates examples but doesn't describe how it behaves—e.g., whether it produces code snippets, markdown, or other formats; if it's a read-only operation; what permissions might be needed; or any rate limits. For a tool with no annotations, this lack of detail is a significant gap, leaving the agent with minimal behavioral insight.

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: 'Generate practical examples for API endpoint usage with custom parameters.' It is front-loaded with the core purpose, has zero wasted words, and is appropriately sized for the tool's complexity. Every part of the sentence contributes directly to understanding the tool's function.

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 (3 parameters, no output schema, and no annotations), the description is incomplete. It lacks details on behavioral traits, output format, and usage context. While the schema covers parameters well, the description fails to compensate for missing annotations and output information, making it inadequate for full contextual 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 100% description coverage, with clear documentation for all three parameters. The description adds minimal value beyond the schema, as it only mentions 'custom parameters' without elaborating on their purpose or usage. Since the schema already provides robust details, the baseline score of 3 is appropriate, reflecting that the description doesn't enhance parameter understanding but doesn't detract either.

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: 'Generate practical examples for API endpoint usage with custom parameters.' It specifies the verb ('Generate'), resource ('practical examples'), and scope ('API endpoint usage'), making it easy to understand. However, it doesn't explicitly differentiate from sibling tools like 'get_api_scenarios' or 'search_api_endpoints', which might also relate to API examples or endpoints, 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 no guidance on when to use this tool versus alternatives. It doesn't mention any prerequisites, context, or exclusions, such as when to choose this over 'get_api_scenarios' or 'search_api_endpoints'. Without such information, users must infer usage based on the purpose alone, which is insufficient for optimal tool selection.

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

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

No annotations are provided, so the description carries the full burden. It mentions 'local rules' but doesn't explain what these rules entail (e.g., formatting constraints, language restrictions, or business logic). It also fails to disclose behavioral aspects like whether the tool is read-only, has rate limits, or what the output format might be, which is inadequate for a tool with no annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with no wasted words. It is front-loaded with the core action and resource, making it easy to parse quickly, which is ideal for conciseness.

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 complexity (4 parameters, no annotations, no output schema), the description is incomplete. It lacks details on behavioral traits, output expectations, and usage context. For a tool that generates domain suggestions, more information on result format or constraints would be necessary for effective 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?

The input schema has 100% description coverage, so the schema fully documents all four parameters. The description adds no additional meaning beyond the schema, such as explaining how keywords are processed or what 'local rules' imply for parameter usage. This meets the baseline score of 3 when schema coverage is high.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the tool 'Generate professional domain name suggestions (local rules)' which specifies the verb ('Generate'), resource ('domain name suggestions'), and a qualifier ('professional', 'local rules'). However, it doesn't clearly differentiate from sibling tools like 'generate_name_pairs' or 'generate_usernames' that also generate names, making the purpose somewhat vague in context.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention any prerequisites, exclusions, or compare it to other domain-related tools in the sibling list (e.g., 'check_domain_availability', 'purchase_domains'), leaving the agent without context for tool selection.

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

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

No annotations are provided, so the description carries the full burden. It mentions 'culturally appropriate' but does not disclose behavioral traits such as what 'culturally appropriate' means, whether there are rate limits, how ethnicity categories are defined, or what the output format looks like. This leaves significant gaps for an agent to understand 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?

The description is a single, efficient sentence that is front-loaded with the core purpose. There is no wasted language, and it directly communicates the essential information without 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 moderate complexity (3 parameters, no output schema, no annotations), the description is adequate but incomplete. It covers the purpose and parameters at a high level but lacks details on behavioral aspects, output format, and usage guidelines. It meets the minimum viable threshold but has clear 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 parameters. The description adds minimal value by implying that 'ethnicity' and 'gender' influence the name generation, but it does not provide additional semantics beyond what the schema states. 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 specific action ('generate') and resource ('culturally appropriate firstname/lastname pairs'), and specifies the key constraints ('for a given ethnicity and gender'). It directly distinguishes itself from sibling tools like 'generate_domains' or 'generate_usernames' by focusing on name pairs with cultural and gender considerations.

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 does not mention any prerequisites, limitations, or scenarios where other tools (e.g., 'generate_usernames') might be more appropriate. The context is implied but not explicit.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'built-in patterns' but doesn't elaborate on what these patterns are, whether the tool is idempotent, if it has rate limits, or what the output format looks like (e.g., list of strings). For a generation tool with zero annotation coverage, this is a significant gap 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 functionality without unnecessary details. It directly states what the tool does and the input types, 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?

For a tool with no annotations and no output schema, the description is incomplete. It doesn't explain the output (e.g., what the generated usernames look like, format, or any constraints), behavioral aspects like error handling, or how it differs from similar tools. This leaves gaps for an AI agent to understand the tool 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?

The input schema has 100% description coverage, with clear documentation for both parameters ('name' and 'numberOfNames'). The description adds minimal value beyond the schema by implying the input can be a 'full name or single word,' but it doesn't provide additional context like examples or pattern details. Given the high schema coverage, a baseline score of 3 is appropriate.

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: 'Create professional mailbox usernames from a full name or single word using built-in patterns.' It specifies the verb ('Create'), resource ('mailbox usernames'), and input types ('full name or single word'). However, it doesn't explicitly distinguish this tool from sibling tools like 'generate_name_pairs' or 'generate_domains,' which might have overlapping naming functionality, so it doesn't reach the highest 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. It doesn't mention any prerequisites, exclusions, or compare it to sibling tools such as 'generate_name_pairs' or 'generate_domains,' which could be relevant for username generation. This lack of contextual usage advice limits its effectiveness 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 the full burden of behavioral disclosure. It mentions the tool retrieves detailed information (status, mailboxes, registration details) and is an endpoint, but lacks critical details like authentication requirements, rate limits, pagination, error handling, or whether it's read-only (implied by 'retrieve' but not explicit). This is inadequate for a tool with 7 parameters.

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, but the second ('Invoke this endpoint.') is redundant and adds no value. The first sentence is front-loaded with the core purpose, but overall structure could be tighter by removing the unnecessary 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 tool with 7 parameters, no annotations, and no output schema, the description is insufficient. It lacks details on authentication, error handling, response format, and usage context. The mention of 'detailed information' is vague, and without an output schema, the agent has no guidance on what data 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 fully documents all 7 parameters. The description adds no parameter-specific information beyond implying a subscription context, which doesn't compensate for or clarify the generic parameters like 'method' or 'path'. Baseline 3 is appropriate as 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 verb ('Retrieve') and resource ('domains allocated to a specific DNS Shield subscription'), making the purpose explicit. It distinguishes from siblings like 'get_available_domains' or 'retrieve_all_domains' by focusing on allocated domains for a subscription, but doesn't explicitly contrast with them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing a subscription ID), exclusions, or compare with sibling tools like 'get_eligible_domains' or 'retrieve_all_domains_with_filters', leaving usage context unclear.

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 the tool fetches data, implying a read-only operation, but doesn't disclose critical behavioral traits like authentication requirements, rate limits, error handling, or response format. The mention of 'Invoke this endpoint' is vague and adds no practical context, leaving 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 front-loaded with the core purpose in the first sentence, followed by a less informative second sentence ('Invoke this endpoint') that adds minimal value. It's appropriately sized but could be more efficient by omitting the redundant second part, keeping it to one clear 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?

Given the tool's complexity (7 parameters, no annotations, no output schema), the description is incomplete. It fails to address behavioral aspects like authentication, response structure, or error cases, which are crucial for a tool that fetches user data. Without annotations or output schema, the description should provide more context to guide effective use, but it falls short.

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, documenting all 7 parameters with their types and purposes. The description adds no parameter-specific information beyond what the schema provides, such as explaining how parameters like 'method' or 'workspaceKey' relate to fetching subscriptions. With high schema coverage, the baseline score of 3 is appropriate, as the description doesn't compensate but also doesn't 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 action ('Fetch') and resource ('all subscriptions associated with the authenticated user'), including scope details like statuses (active, cancelled, expired) and included data (plan and billing details). It distinguishes from siblings by specifying it retrieves all subscriptions for the user, unlike tools like 'cancel_subscription_13489478e0' or 'get_subscriptions_25778521e0' which might have different scopes, though it doesn't explicitly differentiate from similarly named siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives, such as other subscription-related tools in the sibling list (e.g., 'get_subscriptions_25778521e0', 'cancel_subscription_13489478e0'). It mentions invoking the endpoint but lacks context on prerequisites, timing, or exclusions, leaving the agent with no usage direction.

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 the tool retrieves best practices but doesn't disclose behavioral traits such as whether it's a read-only operation, if it requires authentication, rate limits, or what the output format looks like. This leaves significant gaps for a tool that likely provides structured advice.

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 purpose without unnecessary words. It's appropriately sized for a simple retrieval tool, 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?

Given no annotations and no output schema, the description is incomplete. It doesn't explain what the tool returns (e.g., structured tips, markdown, list), behavioral aspects, or how parameters affect results. For a tool with 2 parameters and likely complex output, this leaves the agent underinformed.

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 two parameters (category and endpoint). The description adds no additional meaning beyond implying the tool covers API best practices broadly, which aligns with the schema but doesn't compensate with extra details like examples or usage tips.

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 ('Get') and resource ('comprehensive best practices for using the Zapmail API effectively'), specifying it's about API usage guidance. It distinguishes itself from most siblings (e.g., get_api_info, get_api_scenarios) by focusing on best practices rather than general info or examples, though the distinction could be more explicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives like get_api_info or get_api_scenarios. The description implies it's for API effectiveness, but there's no explicit context, exclusions, or comparisons to help the agent choose appropriately among similar 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 of behavioral disclosure. It describes what information is retrieved but fails to mention critical traits such as whether this is a read-only operation, potential rate limits, authentication requirements, or the format of the returned data. This leaves significant gaps for an agent to understand how to interact with the tool effectively.

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, well-structured sentence that efficiently conveys the tool's purpose without unnecessary words. It is front-loaded with the main action and details, 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 complexity of retrieving API information with 4 parameters and no output schema, the description is incomplete. It lacks details on behavioral aspects like safety, performance, and return format, and does not compensate for the absence of annotations. This makes it insufficient for an agent to fully grasp the tool's context and usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% description coverage, clearly documenting all parameters. The description adds no additional semantic details about the parameters beyond what the schema provides, such as explaining the relationships between 'category' and 'endpoint' or the implications of the boolean flags. Thus, it meets the baseline score without adding 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 specific verbs ('Get detailed information') and resources ('API endpoints, parameters, responses, and usage examples'), making it easy to understand what it does. However, it does not explicitly differentiate from sibling tools like 'search_api_endpoints' or 'get_api_scenarios', which might have overlapping functionality, so it misses the highest 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. It does not mention any prerequisites, exclusions, or specific contexts for usage, leaving the agent without clear direction on tool selection among siblings like 'search_api_endpoints' or 'get_api_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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'Get step-by-step scenarios,' implying a read-only operation, but does not cover aspects like authentication needs, rate limits, response format, or potential errors. 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 a single, efficient sentence that directly states the tool's purpose without unnecessary words. It is front-loaded and wastes no space, making it highly concise 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 complexity of providing API scenarios and the lack of annotations and output schema, the description is incomplete. It does not explain what the output looks like (e.g., format, structure), potential limitations, or how to interpret the scenarios, leaving the agent with insufficient context for effective 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?

The input schema has 100% description coverage, with clear documentation for both parameters (category and scenario). The description does not add any additional meaning or examples beyond what the schema provides, such as explaining the relationship between category and scenario. Thus, it meets 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' and the resource 'step-by-step scenarios for common API operations and workflows,' making the purpose understandable. However, it does not explicitly differentiate from sibling tools like 'get_api_best_practices' or 'get_api_info,' which might also provide related API guidance, 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 no guidance on when to use this tool versus alternatives, such as sibling tools like 'get_api_best_practices' or 'get_api_info.' It lacks explicit context, prerequisites, or exclusions, leaving usage unclear beyond the basic purpose.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions the code has 'a limited validity period,' which adds useful context about temporal constraints. However, it fails to describe critical behaviors such as required permissions, rate limits, error conditions, or what the response looks like (since there's no output schema). For a tool that likely involves sensitive authentication data, this is a significant gap 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 concise with three sentences that avoid redundancy. It front-loads the core purpose and adds context about validity. However, the last sentence 'Invoke this endpoint' is unnecessary filler that doesn't add value, slightly reducing efficiency. Overall, it's well-structured but could be more tightly written.

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 complexity (7 parameters, no annotations, no output schema), the description is incomplete. It lacks details on authentication requirements, error handling, response format, and how to specify the mailbox. For a tool that retrieves sensitive codes, this leaves critical gaps for an agent to use it correctly and safely.

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 with descriptions. The description does not add any parameter-specific semantics beyond what the schema provides (e.g., it doesn't clarify which parameters are needed for this specific endpoint). Given the high schema coverage, the baseline score of 3 is appropriate, as the description offers no extra parameter insights.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the tool 'retrieve[s] an authenticator code for a specific mailbox' and mentions its use for authentication with limited validity. This provides a clear verb ('retrieve') and resource ('authenticator code'), but it does not distinguish this tool from siblings (e.g., no mention of how it differs from other authentication-related tools in the list). The purpose is somewhat vague as it lacks specifics on what the code is used for beyond 'authentication purposes'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites (e.g., needing a mailbox ID), exclusions, or sibling tools. The phrase 'Invoke this endpoint' is generic and adds no contextual usage information. Without any when-to-use or when-not-to-use cues, the agent must infer usage from the tool name 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 mentions the tool checks availability and returns prices, but lacks critical details: whether it's a read-only operation, if it requires authentication, rate limits, error handling, or the exact response format. For a tool with 7 parameters and no annotations, this leaves significant gaps in understanding its behavior and constraints.

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 concise and front-loaded, with three sentences that efficiently convey the core functionality. The first sentence states the purpose, the second adds context and benefits, and the third is a call-to-action. There's minimal waste, though the last sentence ('Invoke this endpoint.') is slightly redundant but not detrimental.

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 complexity (7 parameters, no annotations, no output schema), the description is incomplete. It explains what the tool does but fails to address key contextual aspects: how to structure the request (e.g., which parameters to use for domain names and years), what the output looks like, error conditions, or authentication needs. For a tool with this level of complexity, more detail is necessary to be fully actionable.

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 all 7 parameters. The description adds no specific parameter information beyond implying domain names and years are involved, but doesn't clarify which parameters correspond to these inputs. Since the schema handles parameter documentation, the baseline score of 3 is appropriate, as the description doesn't add meaningful semantic value beyond what's already structured.

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: 'check the availability of up to 20 domain names in a single request' and 'determine which domains are available for registration and their corresponding prices'. It specifies the verb ('check'), resource ('domain names'), and scope ('up to 20', 'bulk'). However, it doesn't explicitly differentiate from sibling tools like 'check_domain_availability' or 'check_domain_availability_batch', which appear to serve similar functions.

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 context with phrases like 'ideal for bulk domain searches' and 'quickly determine', suggesting it's for efficiency when checking multiple domains. However, it doesn't provide explicit guidance on when to use this tool versus alternatives (e.g., 'check_domain_availability' for single domains) or any prerequisites. The guidance is present but not comprehensive.

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 describes what the tool retrieves (aged/high-reputation domains) but lacks critical behavioral details: it doesn't mention whether this is a read-only operation, what authentication might be required, whether there are rate limits or costs, what the return format looks like (e.g., pagination, fields), or potential side effects. The phrase 'Invoke this endpoint' adds no meaningful behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is appropriately concise with three sentences that efficiently convey the core purpose and domain characteristics. The first sentence states the main action, the second elaborates on domain quality, and the third is a redundant call-to-action ('Invoke this endpoint') that could be omitted without loss. Overall, it's well-structured and front-loaded with key 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 complexity (7 parameters, no annotations, no output schema), the description is incomplete. It adequately explains what domains are retrieved but fails to address critical contextual aspects: no behavioral transparency (e.g., safety, auth), no usage guidelines versus siblings, and no details on output format or pagination. For a tool with many parameters and no structured safety hints, this leaves significant gaps for an AI 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?

The input schema has 100% description coverage, providing clear documentation for all 7 parameters (e.g., method override, path override, query parameters). The description adds no parameter-specific information beyond what's in the schema—it doesn't explain which parameters are relevant for this specific endpoint or provide usage examples. With high schema coverage, the baseline score of 3 is appropriate as the schema handles parameter documentation adequately.

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 ('Retrieve') and resource ('list of available aged/high-reputation domains from the marketplace'), specifying they are premium domains with established history, age, and quality metrics. It distinguishes itself from siblings like 'get_available_domains_for_registration_13521189e0' by focusing on aged/reputation domains rather than registration availability, but doesn't explicitly contrast with all similar tools like 'list_domains' or 'retrieve_all_domains_13520015e0'.

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 'aged/high-reputation domains' but doesn't specify scenarios where this is preferred over other domain-related tools like 'get_available_domains_for_registration_13521189e0' (for new domains) or 'list_domains' (general listing). No prerequisites, exclusions, or explicit alternatives are stated.

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

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

No annotations are provided, so the description carries the full burden. It states the tool returns a list of domains with exact matches and similar domains, but doesn't disclose behavioral traits such as whether it's a read-only operation, requires authentication, has rate limits, or what happens on errors. The description is minimal and lacks critical 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?

The description is two sentences: one substantive and one redundant ('Invoke this endpoint'). The first sentence is front-loaded with key information, but the second adds no value, reducing efficiency. It could be more concise by removing the unnecessary instruction.

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 complexity (7 parameters, no annotations, no output schema), the description is incomplete. It explains the purpose but lacks usage guidelines, behavioral details, and output information. For a tool with many parameters and no structured safety hints, more context is needed to guide effective 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?

The input schema has 100% description coverage, so the schema documents all parameters (e.g., method, path, query). The description adds no parameter-specific information beyond implying TLDs and years of registration are involved, but doesn't clarify which parameters correspond to these or provide additional semantics. Baseline 3 is appropriate as 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: 'returns a list of domains that are available for registration, along with the exact match and a list of similar domains for a given set of TLDs and years of registration.' It specifies the verb ('returns'), resource ('domains'), and scope ('available for registration'), though it doesn't explicitly differentiate from sibling tools like 'check_domain_availability' or 'get_available_domains_25772286e0'.

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 'for a given set of TLDs and years of registration,' which implies context, but doesn't specify prerequisites, exclusions, or compare it to sibling tools like 'check_domain_availability' or 'get_available_domains_25772286e0'. The phrase 'Invoke this endpoint' is generic and unhelpful.

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 for behavioral disclosure. It states the tool retrieves information (implying read-only) and describes the return format, but lacks details on permissions, rate limits, error conditions, or whether it's idempotent. The phrase 'Invoke this endpoint' is redundant and adds no behavioral insight.

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, but the second sentence ('Invoke this endpoint.') is unnecessary and adds no value. The first sentence is information-dense but could be more front-loaded; it efficiently covers purpose and output details, though the structure is adequate but not exemplary.

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 read operation with no annotations and no output schema, the description adequately explains what the tool does and what it returns. However, it lacks context on authentication, error handling, or system behavior, which would be helpful given the tool's apparent role in a billing/subscription system. It's minimally complete but leaves gaps in operational guidance.

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 all 7 parameters. The description adds no parameter-specific information beyond implying the tool might not require inputs (since it describes retrieving 'across all active subscriptions' without mentioning parameters). 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 ('Retrieve information') and resource ('available placement test credits (slots) across all active subscriptions'), with specific output details ('total available credits, used credits, and breakdown by subscription'). It doesn't explicitly differentiate from sibling tools like 'get_available_slots_25781438e0' or 'get_placement_test_orders_25779469e0', but the focus on 'placement test credits' provides reasonable distinction.

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 prerequisites, exclusions, or comparisons to sibling tools such as 'get_available_slots_25781438e0' or 'get_placement_test_orders_25779469e0', leaving the agent to infer usage context solely from the tool name and description.

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 the calculation method ('subtracting used slots from your total slots'), which is useful behavioral context. However, it fails to mention critical traits like authentication requirements, rate limits, error conditions, or whether this is a read-only operation (implied by 'Check' but not explicit). For a tool with no annotations, this leaves significant 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 efficiently structured in three sentences: purpose, calculation method, and invocation instruction. Each sentence adds value without redundancy. However, the final sentence 'Invoke this endpoint' is slightly redundant with the tool's nature, slightly reducing conciseness. Overall, it's well-front-loaded and appropriately sized.

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 (calculating slot availability across subscriptions), no annotations, and no output schema, the description provides a clear purpose and calculation logic but lacks details on authentication, error handling, or return format. It's minimally adequate for understanding what the tool does but incomplete for reliable use without additional context or trial.

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 all 7 parameters (e.g., 'method', 'path', 'workspaceKey'). The description adds no parameter-specific information beyond the general action, such as which parameters might be relevant for this endpoint. Given the high schema coverage, the baseline score of 3 is appropriate, as the description doesn't compensate but doesn't detract either.

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 ('Check how many available DNS Shield slots you have') and resource ('across all your LTD subscriptions'), with explicit calculation details ('total available capacity by subtracting used slots from your total slots'). It distinguishes from sibling tools by focusing exclusively on DNS Shield slot availability, unlike tools like 'get_allocated_domains_for_subscription_25781672e0' or 'get_eligible_domains_25781361e0' that handle 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 implies usage context through 'across all your LTD subscriptions' and 'active LTD plans', suggesting it's for users with lifetime deals. However, it lacks explicit guidance on when to use this tool versus alternatives (e.g., 'get_subscriptions_25781447e0' for subscription details) or any exclusions (e.g., not for non-LTD plans). The context is clear but incomplete for sibling differentiation.

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 fetching records but does not specify permissions, rate limits, or response format. This leaves significant gaps in understanding the tool's behavior and constraints.

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 brief and front-loaded with the main action, but the second sentence 'Invoke this endpoint' is redundant and adds no value. Overall, it is efficient but could be more polished by removing unnecessary phrasing.

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 complexity of 7 parameters, no annotations, and no output schema, the description is insufficient. It does not explain return values, error handling, or how to interpret results, leaving the agent with incomplete information for proper tool invocation.

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. The description adds no additional meaning beyond implying a domain ID is needed, but it does not clarify which parameter corresponds to the domain ID or provide context beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the tool fetches DNS records for a domain associated with a user, which is a clear purpose. However, it does not differentiate from sibling tools like 'check_dns_records_13521093e0' or 'retrieve_all_domains_13520015e0', making it somewhat vague in comparison.

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, such as 'check_dns_records_13521093e0' for verification or 'add_dns_records_13629231e0' for creation. It lacks explicit context or exclusions, offering minimal usage direction.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions retrieving a list but fails to describe critical traits such as authentication requirements, rate limits, pagination behavior, error handling, or the format of the returned data. For a read operation with zero annotation coverage, this leaves significant gaps in understanding how the tool behaves in practice.

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 concise and front-loaded, stating the core purpose in one clear sentence. The second sentence ('Invoke this endpoint.') is redundant and adds no value, slightly detracting from efficiency. Overall, it's well-structured but could be tighter by removing the unnecessary instruction.

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 complexity (7 parameters, no annotations, no output schema), the description is incomplete. It explains what the tool does but lacks details on behavioral aspects (e.g., auth, limits), output format, and usage context. For a tool with rich input schema but no other structured data, more comprehensive guidance is needed to ensure the agent can use it 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?

The input schema has 100% description coverage, so the schema already documents all 7 parameters (e.g., 'method', 'path', 'query'). The description adds no parameter-specific information beyond implying a retrieval action, which doesn't enhance the schema's details. Baseline 3 is appropriate as the schema handles parameter documentation adequately.

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: 'retrieve a list of domains that are still in progress and pending connection with Zapmail.' It specifies the verb ('retrieve'), resource ('domains'), and scope ('in progress and pending connection'), which is specific and actionable. However, it doesn't explicitly distinguish this from sibling tools like 'retrieve_all_domains_13520015e0' or 'list_domains', missing full 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?

The description provides no guidance on when to use this tool versus alternatives. It states what the tool does but offers no context on prerequisites, timing, or comparisons to sibling tools (e.g., 'retrieve_all_domains_13520015e0' or 'list_domains'), leaving the agent to infer usage based on the name alone. This lack of explicit when-to-use or when-not-to-use instructions reduces effectiveness.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'Get the payment link... or purchase domains via wallet,' implying a read operation for links and a write operation for purchases, but it doesn't clarify permissions, rate limits, side effects, or response format. This leaves critical behavioral traits unspecified for a tool that may involve financial transactions.

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 brief and front-loaded with the core purpose in the first sentence, followed by a generic endpoint invocation note. It avoids unnecessary details, but the second sentence ('Invoke this endpoint.') adds minimal value, slightly reducing efficiency. Overall, it's appropriately sized with minor 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 tool's complexity (7 parameters, potential financial operations) and lack of annotations and output schema, the description is incomplete. It doesn't explain behavioral aspects like authentication needs, error handling, or what the payment link entails, leaving gaps that could hinder an AI agent's ability to use the tool correctly in 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?

Schema description coverage is 100%, so the schema fully documents all 7 parameters. The description adds no parameter-specific information beyond the schema, such as how 'method' or 'path' relate to domain purchases. Since the schema handles parameter documentation adequately, the baseline score of 3 is appropriate, with no extra value from 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 states the tool 'Get the payment link for a list of domains or purchase domains via wallet,' which clarifies the verb ('Get') and resource ('payment link'), but it's vague about the exact purpose—whether it retrieves links, initiates purchases, or both. It doesn't distinguish from siblings like 'purchase_domains' or 'get_wallet_balance_13490707e0,' leaving ambiguity in scope.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. It mentions 'Invoke this endpoint,' but this is generic and doesn't specify prerequisites, context, or exclusions compared to sibling tools such as 'purchase_domains' or 'get_wallet_balance_13490707e0.' The description lacks explicit when/when-not instructions or named alternatives.

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. It discloses pagination behavior and the tool's purpose in a purchase workflow, which is helpful. However, it doesn't mention authentication requirements, rate limits, error conditions, or what 'eligible' specifically means beyond DNS Shield protection.

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 with three sentences that each add value: stating the core function, providing usage context, and including a call to action. It's front-loaded with the main purpose, though the final sentence 'Invoke this endpoint' is somewhat redundant.

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 read-only list tool with no annotations and no output schema, the description provides adequate but minimal context. It explains the purpose and pagination, but doesn't describe the return format, error handling, or authentication requirements that would be helpful given the complexity implied by 7 parameters.

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 all 7 parameters. The description adds no parameter-specific information beyond what's in the schema. The baseline score of 3 reflects adequate coverage 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 specific action ('Retrieve a paginated list'), resource ('domains'), and qualification ('eligible for DNS Shield protection'). It distinguishes from siblings like 'get_available_domains' or 'retrieve_all_domains' by specifying the eligibility criteria for DNS Shield.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.