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

Annotations already indicate readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is clear. However, the description adds no behavioral context beyond that: it does not disclose what the tool returns, what constitutes a 'deterministic flow defect,' or how results are presented. With no output schema, the description carries a heavier burden and fails to provide necessary runtime behavior 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 a single concise sentence with no filler or redundancy. It takes minimal space to convey the general purpose, which is appropriate for a high-level summary.

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?

Despite the complex input schema with numerous order fields and the absence of an output schema, the description offers no information about the audit rules, return format, or edge-case behavior. It is far too sparse to fully support correct invocation and result interpretation for a tool of this complexity.

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

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

Schema description coverage is 0% and the description only mentions 'authorization, capture, refund, reference, and currency state' without mapping to the actual parameters 'orders' and 'now'. The 'now' parameter (likely a reference timestamp) is entirely unexplained. The description adds minimal semantic value beyond inferable field names.

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 uses a specific verb ('Audit') and a resource ('supplied authorization, capture, refund, reference, and currency state'), clearly indicating the tool's scope. It does not explicitly differentiate from sibling detect tools like sezzle_detect_stuck_authorizations, but the broader 'deterministic flow defects' framing implies a comprehensive audit rather than a single-issue detector.

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 such as the specific detect tools or validation tools. There is no mention of prerequisites, exclusions, or recommended scenarios; the description simply states what the tool does without explaining when it is the best choice.

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?

The annotations already cover safety (readOnlyHint, idempotentHint, destructiveHint). The description adds valuable context that secrets are never returned, which is a key behavioral trait for an authentication tool. However, it does not mention side effects like token lifecycle details, but the annotation coverage lowers the bar.

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 with no filler. It front-loads the action and includes the necessary security caveat without 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 simplicity (one optional parameter, no output schema), the description provides the core purpose and a critical security guarantee. The sibling list confirms that no other tool handles authentication, so the context is complete enough for agent selection.

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% coverage and the `force` parameter already includes a description. The main description does not add any additional meaning or context beyond what the schema provides, so the baseline 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 uses specific verbs ('acquire or refresh') and a clear resource ('merchant bearer token'), immediately distinguishing this tool from the sibling validation and diagnostic tools. It unambiguously identifies its unique role.

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 clearly implies when to use this tool: whenever a merchant bearer token is needed. It does not explicitly mention alternatives, but none of the sibling tools serve the same purpose, so the context is clear without 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?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, which covers the safety profile. The description adds specific detection criteria (duplicate refund IDs or amount/time fingerprints) but does not mention return format, pagination, or edge-case behavior. With annotations providing the safety context, a score of 3 is appropriate for the additional but limited behavioral detail.

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, concise sentence that front-loads the action verb 'Detect' and conveys the core purpose without any wasted or redundant words. It is appropriately sized for the tool's scope.

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?

Despite strong annotations, the tool has a complex input schema (nested arrays of objects) and no output schema. The description is too brief to explain what the tool returns or how the agent should interpret results. Given the complexity, a more complete description would be necessary for an agent to fully understand the tool's behavior and outputs.

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 has a single 'orders' parameter with no descriptions (0% coverage). The description refers to 'supplied order evidence,' offering a high-level label, but it does not explain the required structure or highlight relevant fields like refund_attempts, which are critical for duplicate detection. The description insufficiently compensates for the lack of schema-level 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 tool's function with a specific verb ('Detect') and resource ('duplicate refund IDs or repeated amount/time fingerprints') in the context of supplied order evidence. This distinguishes it from sibling tools like detect_stuck_authorizations and detect_uncaptured_orders, which target different issues.

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

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

The description implies the tool should be used when duplicate refunds are suspected in order data, but it does not explicitly state when to use this tool over alternatives or provide exclusions. The purpose is clear enough to infer usage, but no proactive guidance is given for tool selection among the sibling detection 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?

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds the filtering criteria of approved+uncaptured and a time threshold, but fails to define what 'progressed' means (e.g., capture, refund) or what the tool actually returns.

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, tightly worded sentence with no filler. It is front-loaded and gets directly to the point, 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?

With three parameters, no output schema, and a non-trivial detection logic, the description is far too sparse. It doesn't mention that orders is an input list, doesn't clarify how 'progressed' is evaluated, and doesn't describe the return value. This leaves a knowledgeable agent guessing about invocation details.

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

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

Schema description coverage is 0% and the description does not explain any of the three parameters (orders, now, threshold_minutes). The word 'threshold' only vaguely hints at threshold_minutes, and orders/now are completely absent, leaving the agent without the needed input 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 uses a specific verb (Find) and a specific resource (approved uncaptured authorizations) with a clarifying condition (not progressed within a threshold). This clearly delineates it from sibling tools like sezzle_detect_uncaptured_orders, which target a broader set of uncaptured orders.

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

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

There is no explicit guidance on when to use this tool versus alternatives such as sezzle_detect_uncaptured_orders or sezzle_audit_auth_capture_flow. The description gives no contexts, exclusions, or selection criteria beyond the inherent 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?

Annotations already declare readOnlyHint=true and idempotentHint=true, covering safety. The description adds the core filtering logic, but it does not disclose the role of the required 'now' parameter, whether authorization expiry is considered, or what the function returns. This missing behavioral detail lowers the score despite 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, direct sentence with no filler. It front-loads the action and condition, earning full credit 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?

For a simple read-only filter, the description is adequate but incomplete. It does not explain the function's output (no output schema present) or the necessity of 'now', which is a required parameter. The behavior is narrow, but these gaps prevent a higher score.

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

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

Schema description coverage is 0%, and the description does not compensate. It references 'authorization' and 'captured amount', which correspond to fields in the 'orders' array items, giving a hint about that parameter. However, the 'now' parameter is completely unexplained, and there is no explicit mapping of parameter names to roles.

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 'Find approved orders whose captured amount remains below authorization' states a specific action (find) and a clear resource (approved orders) with a precise condition. This distinguishes it from sibling tools like detect_stuck_authorizations, which likely target different conditions (e.g., no capture at all).

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 when needing to identify approved orders with incomplete capture, but it provides no explicit guidance on when to use this tool versus alternatives like sezzle_detect_stuck_authorizations or sezzle_audit_auth_capture_flow. No exclusions or alternatives are mentioned.

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?

Annotations already declare the tool as read-only, idempotent, and non-destructive. The description adds the behavioral trait 'deterministic,' which is useful context beyond the annotations. However, it does not disclose what the output/report looks like or any other behavioral details, though the annotations cover the safety profile 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 a single, focused sentence with no redundant wording. It front-loads the key action ('Run deterministic Integration Doctor checks') and is appropriately sized for its broad purpose, even though it could include more detail without padding.

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 high complexity of the input schema, the absence of an output schema, and the large set of sibling diagnostic tools, the description is incomplete. It does not describe what the results/checks contain, how to interpret them, or how this tool relates to the targeted validators. An agent would lack critical context for proper invocation and result interpretation.

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 has 0% description coverage and only one complex nested parameter ('input'). The description provides a high-level categorical hint ('configuration, order, webhook, and reconciliation evidence') that maps loosely to the sub-parameters, but it does not explain the required fields, defaults, or how each piece of evidence is used. This is insufficient for an agent to construct a valid 'input' object on its own.

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 a specific action ('Run deterministic Integration Doctor checks') and the resource ('supplied configuration, order, webhook, and reconciliation evidence'). It accurately conveys what the tool does, but it does not explicitly differentiate itself from the many targeted sibling diagnostic tools, so it misses the highest level of 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?

There is no guidance on when to use this comprehensive diagnostic tool versus the more specific sibling tools (e.g., sezzle_detect_stuck_authorizations, sezzle_audit_auth_capture_flow). No prerequisites, exclusions, or alternative scenarios are mentioned, leaving the usage context entirely implied.

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?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds 'deterministic,' which is a meaningful behavioral trait beyond annotations, and clarifies that the output includes blocking findings. This is sufficient given 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 front-loaded sentence with no filler. It communicates the primary action, resource, and key output characteristics efficiently.

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

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

The tool has a very complex input object with nested structures and no output schema, yet the description gives no detail about the checklist structure, findings format, or how evidence maps to results. It is more of a headline than a complete description.

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

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

Schema description coverage is 0% and the description only says 'supplied evidence,' adding no meaning to the input object's fields such as `now`, `configured_environment`, `api_base_url`, orders arrays, webhooks, or thresholds. The description fails to compensate for the lack of schema descriptions.

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 uses a specific verb ('Generate') and a clear resource ('production-readiness checklist'), while adding 'deterministic' and 'blocking findings' to clarify output. It distinguishes itself from sibling audit/detect/validate tools by being an aggregator that produces a checklist.

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

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

The phrase 'from supplied evidence' implies the tool is used after diagnostic evidence is available, but there is no explicit when-to-use or alternative comparison. It does not state exclusions or mention sibling tools, so context is only implied.

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?

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint false. The description adds meaningful context: enrollment is a prerequisite, and the data is parsed and scaled to four decimal places. These are behavioral traits not captured in annotations, and they do not contradict them.

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, front-loaded with the primary purpose. Every word serves a purpose: the first sentence states what it does and at what scale, the second notes the prerequisite. No unnecessary 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?

The description is terse and mentions the key prerequisites and precision, but it leaves out what the activity data looks like or how pagination works via the offset parameter. Since there is no output schema, the agent must infer return structure from the tool name alone. This is minimally viable 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 0%, and the description provides no explanation for any of the four parameters (start_date, end_date, currency, offset). Although the parameter names are somewhat self-explanatory, the description fails to compensate for the complete lack of parameter documentation in the prose, thereby missing the opportunity to clarify usage nuances.

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 gets and parses interest-account activity, which is a specific verb+resource. It distinguishes from sibling tools like sezzle_get_interest_balance by focusing on activity rather than balance. The four-decimal scale detail adds specificity.

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 mentions that enrollment is required by Sezzle, which is a precondition for use, but it does not explain when to choose this tool over alternatives like sezzle_get_interest_balance or settlement tools. No alternatives are named or excluded, so usage guidance is largely absent.

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?

Adds behavioral details beyond annotations: 'losslessly at four-decimal scale' indicates precision preservation, and 'Enrollment is required' warns of a prerequisite. The annotations already indicate a safe read operation, but the description adds useful context about precision and enrollment.

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

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

Two sentences, no redundant information. The core purpose is front-loaded in the first sentence, and the second sentence adds a key prerequisite. Every word earns its place.

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

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

For a simple one-parameter read tool with strong annotations, the description adequately covers the purpose and a key precondition. However, it does not explain the single parameter's usage or mention potential error states, leaving minor gaps.

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

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

The description does not mention the 'currency' parameter at all. Schema description coverage is 0%, and the description fails to compensate by explaining how the currency affects the balance. The parameter is left entirely to the schema's enum and default.

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 uses a specific verb 'Get' and clearly identifies the resource 'interest-account balance', with a precise qualifier 'losslessly at four-decimal scale'. This distinguishes it from the sibling 'sezzle_get_interest_activity', which covers activity rather than balance.

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

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

No explicit guidance on when to use this tool versus alternatives. It mentions the prerequisite that enrollment is required, but does not state conditions for use or contrast with sibling tools like sezzle_get_interest_activity.

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?

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior. The description adds value by specifying the return payload is non-secret and covers environment, merchant, safety, and permission categories, which is beyond the annotations. It clarifies the tool returns contextual information without exposing secrets.

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 front-loads the action ('Return') and immediately clarifies the scope. Every word contributes to understanding the tool's purpose, with no 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?

With no output schema, the description is the sole source of information about return values. It lists high-level categories but does not detail the structure or meaning of 'safety' or 'permission' context. For a simple context tool, this is adequate but leaves some ambiguity.

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 is empty with zero parameters, so the description does not need to explain parameter semantics. Baseline for zero parameters is 4; the description adds no parameter-specific details, but none are required.

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 uses a specific verb 'Return' and clearly identifies the resource as 'non-secret environment, merchant, safety, and permission context' for the server process. It distinguishes itself from sibling tools like sezzle_get_order or sezzle_get_settlement_details by focusing on the process context rather than a specific business record.

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 its use when general context about the server process is needed, but it does not explicitly state when to use it over alternatives or provide exclusions. No mention of sibling tools or scenarios where another tool would be more appropriate.

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?

Annotations already declare the tool read-only, idempotent, and non-destructive. The description adds meaningful context by specifying that the output is a minimized financial projection and specifically excludes customer PII, which goes beyond the structured hints. No contradiction with annotations was found.

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, front-loaded sentence with no unnecessary words. It efficiently communicates the action, resource, and output characteristics without redundancy.

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

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

For a simple read tool with one parameter and no output schema, the description adequately covers the purpose and the essential nature of the return value. It could be improved by mentioning error cases or explicitly contrasting with sibling tools, but the existing annotations and schema handle safety and parameter details, making it sufficiently complete for most use cases.

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

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

The single parameter `order_uuid` is fully described in the schema (100% coverage) as 'Sezzle order UUID.' The description does not add any extra parameter details such as format, requirements, or relationships, so it does not enhance the schema's already sufficient explanation.

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 uses a specific verb ('Read'), identifies the resource ('documented Sezzle v2 order'), and specifies the output ('minimized financial projection without customer PII'). This clearly distinguishes it from sibling tools like sezzle_get_order_report by focusing on a single order and emphasizing PII removal.

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

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

The description implies usage for reading a single documented order by UUID but does not explicitly state when to use this tool over alternatives such as sezzle_get_order_report or sezzle_get_settlement_details. No exclusions or comparative guidance is provided, leaving the agent to infer the appropriate context from the tool name and sibling 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?

The annotations already cover read-only, idempotent, open-world, and non-destructive behavior, so the description doesn't need to repeat those. It adds useful behavioral context by specifying the seven-day maximum range, the exclusion of customer PII, and the 'allowlisted' access restriction. These details go beyond the structured annotations and give the agent meaningful constraints for invoking the 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, front-loaded sentence with no redundant words. Every phrase—'allowlisted,' 'order report,' 'maximum seven-day range,' 'excluding customer PII'—carries meaningful, non-obvious information. It is as concise as possible while still conveying the core purpose and key constraints.

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

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

The description covers the main behavior and important constraints, but it lacks any mention of return format, pagination, or possible errors, and there is no output schema to fill that gap. For a tool with only two date parameters and strong safety annotations, it is adequate but not fully complete. The 'allowlisted' aspect also remains unexplained, leaving uncertainty about access prerequisites.

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 provides no descriptions for start_date and end_date, and the tool description also fails to explain their semantics beyond the obvious names. The only parameter-related hint is the 'maximum seven-day range,' but that does not clarify how the dates should be formatted, which is start vs. end, or how they interact. With 0% schema coverage, the description was expected to compensate, but it does not.

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

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

The description uses a specific verb 'Get' and identifies the resource as the Sezzle order report, clearly distinguishing it from sibling tools like sezzle_get_order, which likely fetches a single order. The qualifier 'allowlisted' adds a scope boundary, and the 'maximum seven-day range' specifies the report's time span. This is clear, specific, and differentiates the tool from alternatives.

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

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

The description implies usage context through the phrase 'order report' and the seven-day range constraint, but it does not explicitly state when to choose this tool over siblings such as sezzle_get_order or sezzle_get_settlement_details. There are no exclusions or alternative comparisons. The context is present but not made actionable.

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?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, fully covering the safety profile. The description's 'Read' is consistent and adds a minor qualifier ('documented'), but it discloses no additional behavioral details such as error handling or return format.

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 of ten words that starts with the action verb. Every word contributes to understanding the tool's core function, with no redundancy or 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 simple one-parameter read tool with strong annotations and complete schema coverage, the description is sufficient. It does not explicitly state the return format, but the getter semantics and lack of output schema make this an acceptable inference given the low complexity.

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 provides 100% coverage with a clear description for session_uuid ('Sezzle session UUID.'). The description's 'by UUID' adds no extra meaning beyond reinforcing the schema's parameter purpose, so it meets the baseline 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 identifies a specific action ('Read') and resource ('documented Sezzle v2 payment session') along with the key identifier ('by UUID'). This clearly differentiates it from sibling tools that validate, audit, detect, or generate data.

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 when needing to read a payment session by UUID, but it provides no explicit guidance on when to prefer this over other getter tools like get_order or get_settlement_details. No exclusions or alternatives are mentioned.

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?

Annotations already declare read-only, idempotent, and non-destructive. The description adds 'parse' behavior, but does not explain what parsing entails or the return format. No contradiction.

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?

A single, front-loaded sentence with zero waste. It clearly communicates the action and key input.

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

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

The tool has no output schema and the description does not mention return values. The metadata parameter is still unexplained. Given the annotations cover safety, the description is adequate but not complete.

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

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

Schema description coverage is 0%. The description explains payout_uuid but leaves the metadata parameter completely undocumented. Only partial compensation for the missing schema descriptions.

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 gets and parses a settlement detail CSV using a payout UUID, making it distinct from siblings like sezzle_list_settlement_summaries which handle summaries.

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: call this when you have a payout UUID and need detailed settlement data. It does not explicitly mention alternatives or exclusions, but the context is clear.

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

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint false, covering safety and idempotency. The description adds that amounts are 'lossless minor-unit' numbers and that only 'documented' summaries are listed, providing some extra context. However, it does not disclose pagination behavior, ordering, or the meaning of 'documented'.

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, focused sentence that begins with the verb 'List' and omits unnecessary words. It conveys the essential purpose directly and efficiently.

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

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

The description is too minimal to be fully complete given no output schema and four parameters. It does not mention the required date range, optional currency/offset, or what a 'summary' contains—information an agent would need to correctly invoke the tool. While annotations provide safety context, the description lacks operational completeness.

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 offers no information about the tool's parameters. With schema description coverage at 0%, it does not compensate by explaining that start_date and end_date define the range, currency selects the denomination, or offset controls pagination. This is a significant gap for effective invocation.

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 a specific action ('List') and resource ('settlement payout summaries'), adding precision with 'lossless minor-unit amounts'. This distinguishes it from sibling tools like sezzle_get_settlement_details, which likely retrieve individual details rather than summaries.

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 this tool is for listing summary records, but it does not explicitly state when to use it versus alternatives such as sezzle_get_settlement_details. No when-not conditions or alternative tool names are given, leaving the usage context somewhat inferred.

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?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is known. The description adds one key behavioral detail: it does not send a test event, which is consistent with the read-only/idempotent nature. However, it does not disclose operational details such as whether authentication is required, whether it makes network calls, or what the output looks like.

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 efficient and front-loaded with the main action. It has no redundant filler. The structure is acceptable, though separating the 'no test event' caveat could improve readability slightly. It earns points for being concise without losing 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?

The tool has a nested object parameter with five sub-fields and no output schema. The description is too sparse for this complexity. It does not explain the parameter semantics, the evaluation criteria in detail, or what the tool returns. Given the absence of schema descriptions and an output schema, the tool is under-described and an agent will likely struggle to invoke it correctly.

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

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

Schema description coverage is 0%, so the description must fully explain the input structure. It mentions 'invalid signatures, missing events, and out-of-order evidence' which loosely map to the properties invalid_signature_count, missing_events, and out_of_order_count, but it does not explain the 'webhooks' container object, what each field means, or how they are used. The agent gets almost no guidance on constructing the required 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 uses a specific verb ('Evaluate') and identifies the resource (webhook subscriptions, invalid signatures, missing events, out-of-order evidence). It clearly distinguishes itself from siblings by noting it does 'without sending a test event.' However, the phrase 'out-of-order evidence' is somewhat unclear, and it could be more explicit that this evaluates webhook configuration.

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

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

The phrase 'without sending a test event' implies this tool is for when you want to validate webhook behavior without the side effect of sending a test event. This gives a clear context, but there are no explicit alternatives, exclusions, or 'use when' / 'do not use when' statements. It relies on the reader to infer when this is the right tool.

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

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

Annotations indicate a read-only, idempotent, non-destructive operation, which the description aligns with by saying 'validate.' The description adds useful context about the validation criteria (HTTPS and merchant hosts), beyond what annotations provide. However, it does not disclose return behavior or edge cases.

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, focused sentence that front-loads the primary action and constraints. No unnecessary words.

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

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

The tool has a nested parameter and no output schema. The description explains what is validated but does not specify what the tool returns (e.g., boolean, list of failures), which is important for an agent to interpret results. Given the simplicity, this is a moderate gap.

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 has no descriptions for the 'redirects' object or its properties. The description partially compensates by mentioning 'cancel and complete redirects' and 'supplied merchant hosts,' which map to the input properties. However, it does not explain the expected format of allowed_hosts or the structure of the redirects object.

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 function: to validate cancel and complete redirect URLs against HTTPS and merchant-provided hosts. It uses a specific verb and resource, and distinguishes itself from sibling validation tools by targeting redirects.

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

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

The description implies the tool is used when redirect URLs need to be checked, but it does not state when to prefer it over alternatives or any prerequisites. No exclusions or alternative guidance is provided.

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?

Annotations already declare readOnlyHint=true and idempotentHint=true, so the description's job is lighter. It adds valuable behavioral context: 'deterministically' reinforces idempotency, and 'without sending customer or order data' discloses that the tool performs no network I/O. This goes beyond what annotations provide, though it does not explain return format or error 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, concise sentence that front-loads the primary action and then adds two key qualifiers. Every word earns its place; there is no redundancy or fluff.

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

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

For a simple one-parameter tool, the description is adequate but incomplete. It does not state what 'validate' returns (e.g., a boolean, a list of errors) or what constitutes a valid payload. Since there is no output schema, the description should clarify the outcome of the validation to fully prepare the 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 only one parameter with zero description coverage, so the description must compensate. It only refers to 'proposed Sezzle session payload' without explaining the expected structure, required fields, or format. The description adds no meaning beyond the parameter name itself.

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 a specific verb ('Validate') and resource ('proposed Sezzle session payload'), and distinguishes this from sibling tools like sezzle_validate_redirect_urls by specifying that it validates the session payload specifically. It also adds a distinguishing qualifier ('deterministically without sending data') that separates it from a general validation call.

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

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

The phrase 'without sending customer or order data to Sezzle' implicitly tells the agent when to use this tool: when a local, deterministic validation is needed before any external API call. It does not explicitly name alternatives or exclusions, but the context is clear enough to guide selection among siblings.

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