chargebee

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

The description says the operation is 'additive', but the annotations declare destructiveHint=true. This is a direct contradiction: creating a customer is not destructive. The description's behavioral disclosure is undermined by the annotation, so the tool sends mixed and confusing signals.

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

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

The description is two short sentences with no filler. It front-loads the core action, then provides the id behavior and the API endpoint. Each sentence contributes useful 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?

The tool has no output schema and the description does not indicate what the response contains. More importantly, the contradictory destructiveHint annotation leaves behavioral expectations unclear. The description is not complete enough for an agent to fully understand the operation's side effects or result.

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 only a redundant note about id auto-generation, which is already present in the id parameter description. It does not meaningfully elaborate on parameter semantics 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 uses a specific verb and resource ('Creates a customer in Chargebee') and explicitly marks the operation as additive, distinguishing it clearly from the get/list/update sibling tools. The title and description align, and the resource is unambiguous.

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 creating new customers, but it does not explicitly state when to use it versus chargebee_update_customer or when not to use it. There is no guidance about existing customers, idempotency, or alternatives, so usage 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 provide readOnlyHint=true, and the description is consistent with that. The description adds the API endpoint format but does not disclose error behavior, authentication requirements, or response characteristics. With annotations covering the safety profile, the description provides only modest additional 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 a single, compact sentence that front-loads the core function and then adds the precise API reference. Every word contributes value, 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 single-parameter read operation with readOnlyHint=true, the description gives enough context for an agent to select and invoke the tool. It lacks explicit details about not-found behavior or return format, but these are less critical given the tool's low complexity and the absence of an output schema.

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

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

Schema description coverage is 100%, and the parameter is already well documented as 'Chargebee customer id'. The description reinforces that the customer is retrieved by id but does not add meaningful detail beyond the schema, such as format requirements or value constraints.

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 'Retrieve a single customer by id', specifying both the action and the resource. It also provides the exact Chargebee API endpoint pattern, which distinguishes it from sibling tools like chargebee_list_customers, chargebee_create_customer, and chargebee_update_customer.

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 makes the usage context clear: use this when you have a specific customer_id and need that one customer. It does not explicitly name alternatives or state when not to use it, but the distinction from list/create/update siblings is reasonably 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?

The annotation readOnlyHint=true already indicates this is a safe read operation. The description adds the API endpoint but does not disclose additional behavioral details such as not-found handling or response format. This is acceptable for a simple GET but does not go beyond the annotation's 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 two short sentences with no wasted words. The core action is front-loaded and the API endpoint is a concise, useful reference. Every sentence earns its place.

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

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

For a simple read-only get operation with one required, fully documented parameter and a readOnlyHint annotation, the description is nearly complete. It omits details about return payload or error conditions, but these are not critical for such a straightforward operation.

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 invoice_id as 'Chargebee invoice id.' The description mentions 'by id' and includes {invoice_id} in the endpoint, reinforcing the parameter's purpose but not adding meaning 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 clearly states the action ('Retrieve') and the specific resource ('a single invoice by id'). It is easily distinguished from sibling tools such as chargebee_list_invoices, which retrieves multiple invoices, and chargebee_get_customer, which targets a different resource.

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 'single invoice by id' clearly implies this tool is for fetching one specific invoice when an id is known, in contrast to listing all invoices. However, it does not explicitly state exclusions or name alternative tools for different use cases.

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 readOnlyHint annotation already establishes this as a safe read operation, and the description confirms it with 'Retrieve' and GET. It could add more context such as behavior on invalid or missing IDs, but for a simple read the annotation and description together are adequate.

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?

One concise sentence states the action, resource, and API endpoint with no filler. The key information is front-loaded and 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 minimal read-only tool with one well-documented parameter, the description is sufficient. It might mention that the response contains the subscription object or that a missing ID might return an error, but those are optional for this simple operation.

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% and the single parameter subscription_id is already described in the schema. The description adds only the URL path context, not meaningful new semantic information 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 clearly states a specific verb and resource: retrieving a single subscription by ID. It also includes the exact Chargebee API endpoint, which removes ambiguity and distinguishes it from list-style 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 context is clear: use this when you need one subscription and have its ID. It does not explicitly name alternatives like chargebee_list_subscriptions, but the contrast with 'single' versus 'list' is evident without needing further explanation.

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 the description reinforces this with 'GET /coupons'. It does not add behavioral detail beyond the endpoint and doesn't mention pagination behavior, but the annotation reduces the burden; no contradiction exists.

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 with no filler. 'List coupons' front-loads the purpose and the endpoint line adds a concrete reference point 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-only list tool with fully documented optional parameters, this is sufficiently complete to invoke correctly. The only gap is the absence of an output schema or description of the returned coupon fields, which would help an agent interpret the response.

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 limit and offset already clearly described. The tool description adds no parameter-level meaning, so the baseline of 3 applies.

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 identifies the action ('List') and resource ('coupons'), and the added 'GET /coupons' endpoint confirms the operation. It separates the tool from sibling list tools by the resource type, though it largely repeats the title without further scoping nuance.

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 choose this tool over the many sibling list tools (customers, invoices, subscriptions, etc.) and gives no exclusions or context. Usage must be inferred entirely from the tool name.

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 readOnlyHint annotation already signals a safe read operation, and the description adds the GET endpoint and customer-filter behavior. It does not disclose pagination behavior or response shape, but those are not critical for a simple read-only list operation.

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

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

The description is extremely concise, front-loaded with the core purpose, and each sentence adds distinct information: what it does, a notable filter, and the API endpoint. No filler or redundancy.

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

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

Given the simple tool signature, no required parameters, and full schema documentation, the description is nearly complete. The only minor gap is that it does not describe the response format, but for a read-only list endpoint this is unlikely to block correct 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 coverage is 100%, so all parameters are already well-documented in the schema. The description's 'Filter by customer' line adds emphasis but little new semantic value beyond the customer_id parameter description.

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

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

The description clearly states the action ('List'), the resource ('credit notes'), and adds the endpoint 'GET /credit_notes' for disambiguation. It does not explicitly differentiate from sibling list tools like list_invoices or list_transactions, but the resource name and API path make the purpose unmistakable.

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 listing credit notes and mentions that filtering by customer is supported, giving some context. However, there is no explicit guidance about when to choose this tool over sibling list tools or when the customer filter should be omitted.

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, so the safety profile is clear. The description adds real behavioral detail: 'newest first' ordering and the supported filters (email, creation time). It doesn't mention pagination or rate limits, but those are covered by the schema's offset/limit parameter descriptions and are less critical for a read-only list operation.

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

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

Two short sentences contain all essential information: resource, ordering, filters, and the underlying API endpoint. There is no filler or redundancy. Every clause 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 read-only list tool with no output schema and fully documented parameters, the description plus annotations and schema provide everything needed: resource, ordering, filters, pagination token semantics, and read-only safety. Nothing critical is missing.

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%; all four parameters have descriptive text including Chargebee mapping notation (e.g., '→ email[is]'). The description only adds a high-level summary of available filters, so it does not meaningfully improve on the schema. Baseline 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 states a specific verb ('List'), resource ('customers'), and key behaviors ('newest first', filters). The sibling list tools like chargebee_list_subscriptions and get_customer are clearly different based on resource and verb, so an agent can tell them apart without opening schemas.

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 gives clear context: use this to list customers with optional email or creation-time filters. It doesn't explicitly say 'use get_customer for a single customer', but the verb 'List' and the sibling names make the intended use unambiguous. No exclusion criteria are stated, so score 4 rather than 5.

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

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

The readOnlyHint annotation already signals a safe read operation, lowering the burden on the description. The description adds the HTTP endpoint ('GET /invoices'), which reinforces the read behavior, but it does not disclose pagination details, response shape, or rate-limit considerations.

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 compact and front-loaded, with the core action in the first sentence and supporting filter/API context immediately after. The only minor redundancy is that the first sentence essentially repeats the tool title.

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 list operation with four optional and fully documented parameters, the description is largely sufficient. The main gap is the absence of any note about the response format or pagination beyond what the offset parameter implies, but the schema and readOnlyHint cover most of the 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?

The schema has 100% description coverage and each parameter is already well-documented, so the baseline is 3. The description's mention of 'Filter by customer or status' paraphrases the existing customer_id and status properties without adding new semantic detail.

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 identifies the resource ('invoices') and action ('List'), and adds the key scoping dimensions: by customer or status. It does not explicitly contrast itself with sibling tools like chargebee_get_invoice or chargebee_list_transactions, so it stops short of full 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 implies when to use this tool: when a caller wants a list of invoices, optionally filtered by customer or status. However, it gives no explicit guidance about alternatives, such as using chargebee_get_invoice for a single invoice or chargebee_list_transactions for transaction-level detail.

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, so the safety profile is covered. The description adds the Product Catalog version and endpoint, which is useful context, but it does not disclose any additional behavioral details such as default limits, pagination behavior, or sorting.

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 three short, purposeful sentences with no filler. The core action and resource are front-loaded, and the filter behavior and endpoint are provided 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-only list operation with fully documented parameters and a readOnlyHint annotation, the description covers the essential information. It does not describe the response shape or default pagination limits, but these are not critical given the low complexity and available schema.

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

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

Schema description coverage is 100%, so each parameter is already documented in the schema. The description only adds a brief 'Filter by item' hint, which does not add meaning beyond what the schema's item_id description already provides.

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

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

Description clearly states the action 'List', the resource 'Product Catalog 2.0 item prices', and the filter behavior. Including the Chargebee API endpoint reinforces the specific scope and distinguishes this from sibling tools like list_items.

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

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

The description implies use when a user needs item prices, especially filtered by a specific item. However, it does not explicitly state when to choose this tool over alternatives like list_items or provide any 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, and the description aligns with that by adding the HTTP method 'GET /items'. It does not disclose pagination behavior, rate limits, or response-shape details, but for a simple read-only list the annotation plus the endpoint are adequate. 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?

Two short sentences with no filler. The resource and item categories are front-loaded, the filtering capability follows, and the API endpoint is a useful compact addition. Every clause contributes 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 complete enough for invoking a simple, read-only list operation: all parameters are documented in the schema, the endpoint is given, and the read-only annotation covers the safety profile. It lacks an explicit contrast with list_item_prices and does not describe the response shape, but neither is critical given the low complexity and absence of required 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 already fully documents all three parameters. The description mentions the type filter and the API endpoint, but it does not add meaning beyond what the enum and parameter descriptions already provide.

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 names a specific verb ('List'), a specific resource ('Product Catalog 2.0 items'), and enumerates the item types (plans, addons, charges). This clearly identifies what the tool does and helps distinguish it from item-price listing 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 states that items can be filtered by type, but gives no guidance about when to choose this tool over alternatives like chargebee_list_item_prices. There are no explicit conditions, prerequisites, or when-not-to-use instructions.

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 readOnly annotation already establishes the safety profile. The description adds the GET endpoint and the filtering scope, but does not disclose pagination behavior, result shape, or any limits/edge cases. It adds some context but does not go beyond what one would expect from a simple read-only list operation.

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

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

Three short sentences, front-loaded with the core action and filter capability. The endpoint detail is minor but not harmful; nothing is verbose or redundant enough to reduce the score significantly.

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 low-complexity read-only list with no required parameters and fully documented schema fields, the description is sufficient to invoke the tool. It lacks explicit alternative guidance and return-type detail, but those are not critical here given the annotations and schema richness.

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?

Input schema description coverage is 100%, so the schema already fully documents limit, offset, status, and customer_id. The description only paraphrases the customer_id and status filters and adds no missing parameter semantics or examples.

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 and resource ('List subscriptions') and identifies the main filtering dimensions (customer, status). It clearly indicates a bulk read operation, but it does not explicitly differentiate itself from the related get_subscription or other list_* 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 implies usage: use it when you want to list subscriptions and optionally filter by customer or status. However, it does not state when to prefer get_subscription for a single subscription or when not to use this tool, leaving the choice partly implicit.

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?

readOnlyHint already covers the read-only safety profile, and the description only adds 'GET /transactions,' which restates that trait. No new behavioral context is provided, such as pagination mechanics, default ordering, or response shape.

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

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

The description is highly concise with three purposeful fragments: the core action, the main filter, and the API reference. It is front-loaded with the most important information and contains no wasted 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 is simple and the schema plus annotations cover most needs, but the description does not state the behavior when customer_id is omitted (e.g., whether all transactions are returned). Pagination flow is only hinted at through the offset parameter, not described in prose.

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 descriptions for limit, offset, and customer_id are complete and detailed, so schema coverage is high. The description's 'Filter by customer' merely restates what the customer_id schema already says, adding 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 specific verb and resource: 'List payment/refund transactions.' This distinguishes it from sibling tools like list_invoices and list_customers. The endpoint reference 'Chargebee API: GET /transactions' reinforces the resource identity.

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 tool versus the many list siblings, nor any exclusions or alternatives. 'Filter by customer' is a parameter capability, not a usage criterion. An agent must infer when transactions are the appropriate resource.

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 destructiveHint=true, so the safety profile is covered. The description adds the exact HTTP method and resource path, which is useful, but it does not disclose overwrite semantics, partial-update behavior, or side effects beyond the annotation.

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 front-load the action and then provide the precise API endpoint. There is no filler, repetition, or unnecessary detail.

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 update tool with full schema coverage, one required parameter, no nested objects, and a destructiveHint annotation, the description is nearly complete. The only minor gap is that it does not describe the response shape or whether only provided fields are updated, but nothing essential blocks a correct call.

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 all six parameters already documented in the input schema. The description adds no additional parameter-level meaning beyond what the schema provides, so it meets 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 uses a specific verb ('Updates') and a specific resource ('a customer's details in Chargebee'), and includes the exact API endpoint. This clearly distinguishes it from siblings like chargebee_create_customer and chargebee_get_customer.

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 intent of modifying an existing customer is clear, so an agent can infer when to choose this over create/get. However, the description does not explicitly state when to use it vs alternatives, nor does it mention any prerequisites or exclusions.

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