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

With no annotations provided, the description carries the behavioral burden. It discloses an important consequence (automatic refund after 3 days if unacknowledged), but does not mention idempotency, side effects, authorization requirements, or what happens after a successful acknowledgment.

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. The core action is front-loaded, and the critical policy detail is stated concisely immediately after.

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 purpose and a key consequence, and the output schema exists so return values need not be described. However, with no annotations and no mention of how this differs from consume_product_purchase or when acknowledgment is optional, it is only minimally complete for correct selection and invocation.

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

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

Schema description coverage is 100%, so the input schema fully documents all parameters. The description adds no additional parameter-level meaning, which matches the baseline of 3 for high schema coverage.

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

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

The description clearly states the action (acknowledge) and the resource (an in-app product purchase). It is clear and specific, though it does not explicitly distinguish itself from sibling tools like consume_product_purchase or acknowledge_subscription_purchase.

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 the tool: purchases should be acknowledged promptly, and failing to do so within 3 days results in automatic refunds. However, it does not explicitly mention alternatives or exclusions, such as using consume_product_purchase for consumable items or acknowledge_subscription_purchase for subscriptions.

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

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

With no annotations provided, the description carries the full burden and adds valuable behavioral context: Google automatically refunds and revokes unacknowledged purchases within three days. This tells the agent that the call is operationally mandatory and time-sensitive, though it does not mention authentication, idempotency, or side effects beyond acknowledging.

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, front-loaded with the action, and the second sentence provides a concrete reason the call matters. There is no redundant or filler content.

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 full input schema, output schema, and the simple parameter list, the description is largely complete. It covers the key operational context and urgency, though it could be more complete by explicitly mentioning the similar acknowledge_product_purchase alternative or any required prior steps such as obtaining the purchase_token.

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 already documents all four parameters with 100% coverage, including an example for package_name and descriptions for each field. The description adds no additional parameter-level detail, which is acceptable since schema coverage is complete.

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

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

The description clearly identifies the action (acknowledge) and resource (subscription purchase), so an agent can tell what the tool is for. However, it does not explicitly differentiate from the similar sibling acknowledge_product_purchase, instead relying on the resource name to make that distinction.

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

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

The description gives clear context: this must run for every new subscription purchase to prevent automatic refund and revocation. It does not mention alternatives or exclusions, but the urgency and required use are explicit enough for most call scenarios.

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

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

No annotations are provided, so the description carries the full burden. It discloses a meaningful effect (availability to new subscribers) and the read-only mode restriction, but it does not mention reversibility, prerequisites, or side effects on existing plans. Adequate but with clear gaps.

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

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

Two short sentences with the core purpose front-loaded and the operational caveat placed after. Every sentence earns its place, and there is no 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?

The required parameters are fully documented and an output schema exists, so constructing a valid call is straightforward. However, for a lifecycle mutation with no annotations, the lack of details about idempotency, reversibility, and prerequisites leaves meaningful context 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 input schema covers all three parameters with clear descriptions, and the description adds no parameter-level detail. With 100% schema description coverage, 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 names a specific action ('Activate') and target resource ('subscription base plan'), and specifies the outcome ('making it available to new subscribers'). This clearly distinguishes it from sibling lifecycle actions like deactivate_base_plan and delete_base_plan.

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

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

The description provides clear context: activation is used when a base plan should become available to new subscribers. However, it does not explicitly name alternatives or state when not to use this tool, so it falls short of the top score.

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

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

With no annotations provided, the description carries the behavioral disclosure burden. It does add one useful trait: 'Disabled in read-only mode,' signaling this is a mutating operation. However, it does not disclose permissions, idempotence, whether activation can be reverted, or any side effects beyond making the offer available.

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 with no wasted wording. The primary action and outcome are front-loaded, followed by a relevant mode restriction that affects invocation behavior.

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 activation operation, the combination of a clear outcome, full parameter documentation, and an output schema is largely sufficient. The main gap is the absence of any prerequisite or state-change caveats beyond read-only mode, but the tool is not complex enough to demand much more.

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

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

Schema description coverage is 100%, so the input schema already documents all four parameters clearly, including parent/child relationships. The description adds no parameter-specific detail beyond the general concept of a one-time product offer, which matches the baseline for fully covered schemas.

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 ('Activate'), names the resource ('one-time product offer'), and states the resulting state ('making it available to eligible buyers'). This is clear and distinguishable from most siblings, though it does not explicitly contrast with deactivate/cancel or batch state-update 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 implies the tool is for activating an offer, but provides no explicit when-to-use guidance, exclusions, or mention of alternatives such as deactivate_purchase_option_offer or batch_update_purchase_option_offer_states. Agents must infer the appropriate context entirely from the tool name and one-line effect.

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

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

With no annotations, the description carries the full burden. It does disclose the behavioral effect ('making it available to eligible subscribers') and the read-only mode restriction, which adds value. However, it does not mention permissions, reversibility, or impacts on existing active offers.

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 and every sentence earns its place. The primary action and effect are front-loaded, and the read-only mode restriction is a concise, relevant addition. No filler or redundant restatement of the tool name.

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

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

For a four-parameter mutation tool with full schema coverage and an output schema present, the description is reasonably complete. It explains the purpose, the effect, and a key environmental constraint. It could add preconditions about the offer's current state, but nothing critical is missing for 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?

The schema covers all four parameters with per-field descriptions, so the baseline is 3. The description adds no parameter-level detail beyond the schema. The tool's action itself makes the role of offer_id clear, but no extra semantics are provided.

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

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

The description uses a specific verb ('Activate') and a specific resource ('subscription offer'), and states the resulting effect: 'making it available to eligible subscribers.' This clearly distinguishes it from siblings like deactivate_subscription_offer and activate_base_plan by resource type.

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 alternatives such as activate_base_plan or activate_purchase_option_offer. The only usage-related note is 'Disabled in read-only mode,' which is an environment constraint rather than a selection criterion. It does not state prerequisites or exclusions.

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

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

With no annotations provided, the description carries the burden of behavioral disclosure. 'Add targeting' implies a mutation, and 'Disabled in read-only mode' reinforces that this is a write operation. However, it does not disclose whether existing targeting is replaced or merged, what permissions are required, or any side effects beyond the immediate add.

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. The main action is front-loaded, and the read-only warning is a valuable, directly relevant behavioral note. 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?

The presence of an output schema and full input schema coverage reduces the description's burden for return values and parameters. Still, the description lacks context about the lifecycle of app recovery targeting, such as whether targeting should be added before deployment or whether it can be updated multiple times, which would help an agent use it correctly.

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

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

The input schema already provides 100% parameter coverage with clear descriptions for package_name, app_recovery_id, and targeting. The description adds no new parameter-level detail beyond what the schema states, 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 states a specific action ('Add targeting') and a specific resource ('an app recovery action'), making the tool's function unambiguous. It is clearly distinct from siblings like create_app_recovery, deploy_app_recovery, and cancel_app_recovery because it targets the targeting step specifically.

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 'Disabled in read-only mode' explicitly communicates a when-not condition, which is useful context. However, it does not explain when to prefer this over sibling tools, such as creating a recovery action first or how this relates to other recovery operations.

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

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

With no annotations provided, the description carries the behavioral burden. It discloses a key restriction and failure mode: enterprise-only access and a 403 for normal accounts. 'Register' also implies a mutating operation. It stops short of detailing side effects or lifecycle requirements, but the most relevant access behavior is clearly surfaced.

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. The core purpose is stated first, followed immediately by the critical eligibility constraint, making it easy for an agent to parse quickly.

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

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

For a two-parameter tool with a detailed input schema and an output schema, the description provides the essential non-obvious context: external hosting, enterprise-only enrollment, and the 403 failure mode. Nothing critical is missing for 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 description coverage is 100%, and the schema already documents package_name and the externally_hosted_apk resource body, including required subfields. The description adds minimal parameter-level value beyond the schema, so the baseline score of 3 is appropriate.

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

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

States a clear verb ('Register'), a specific resource ('an APK hosted outside Play'), and the enterprise-distribution scope. This differentiates it from sibling upload tools like upload_apk and upload_bundle without needing to inspect their 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?

Provides concrete context for when the tool is usable: only by organisations enrolled in Play for Work private-channel distribution, and explicitly notes the 403 failure for normal developer accounts. It does not name alternative tools or say 'use upload_apk instead,' but the eligibility guidance is clear and 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It does this well by stating that read methods run immediately and that mutating operations require a two-step confirmed write determined by the API's HTTP verb. It does not cover authentication, error handling, or rate limits, but the core safety-relevant behavior is explicitly disclosed.

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 six short, front-loaded sentences, each earning its place: what the tool does, why it exists, when to prefer alternatives, and how read versus mutation behavior works. There is no redundant wording 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 generic escape-hatch tool with a rich output schema and fully described parameters, the description covers purpose, selection criteria, and the critical confirmation behavior for mutations. The only minor gaps are unmentioned concerns like authentication scope or behavior for invalid method paths, but these are less critical given the tool's generic nature and the presence 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%, so the baseline is 3. The main description adds useful context by explaining the confirmed-write flow, which helps an agent understand the confirm and confirmation_token parameters, but it does not need to restate the parameter details already present in the schema. The description's added value over the schema is moderate but not extensive.

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 and resource: 'Call any Android Publisher v3 method directly, by dotted path.' It clearly frames the tool as an escape hatch for unwrapped and future endpoints, and distinguishes it from dedicated sibling tools by saying 'Use this when there is no dedicated tool.' An agent can immediately tell what this tool is for and how it differs from the many wrapped 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 gives explicit routing guidance: 'Prefer the dedicated tools' and 'Use this when there is no dedicated tool.' It also explains behavioral conditions for choosing this tool, such as read methods running immediately and mutations requiring a two-step confirmed write. This is strong, actionable usage guidance.

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

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

With no annotations, the description carries the burden of disclosing behavior. It clearly states that archiving preserves the record for existing subscribers and that deletion is rejected once purchases exist, communicating the non-destructive nature of the operation. However, it does not mention whether archiving is reversible or whether it affects active subscriptions.

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 concise, purposeful sentences with the primary action front-loaded and the rationale immediately following. Every sentence adds value with no 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 two-parameter mutation with an output schema, the description covers the purpose, usage conditions, and key behavioral distinction. An agent has enough information to invoke the tool correctly and understand its effect relative to alternatives.

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 100% description coverage for both required parameters (package_name and product_id), and the description adds no additional parameter-level context. Baseline 3 applies because the schema already documents the parameters adequately.

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

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

The description explicitly states the operation ('Archive a subscription') and clearly distinguishes it from deletion by explaining archiving is preferred over deleting purchased subscriptions. This differentiates it from the sibling delete_subscription tool.

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

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

The description provides explicit guidance on when to use archiving: for any subscription that has ever been purchased, because deletion is rejected once purchases exist. This gives the agent a clear condition for choosing this tool over the deletion alternative.

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

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

No annotations are provided, so the description carries the behavioral burden. It clearly identifies the operation as destructive ('Delete') and adds a concrete guardrail ('Disabled in read-only mode'). It does not detail irreversibility or partial-failure behavior, but the core behavioral context is present.

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

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

Two sentences with zero filler. The primary action is front-loaded, and the important read-only mode constraint is included efficiently in the second sentence.

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

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

For a simple batch delete with fully documented parameters and an output schema, the description gives enough context to select and invoke the tool. The main gap is the lack of explicit guidance on when to use this versus delete_in_app_product, but the essential call semantics and guardrail are covered.

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 already documents both parameters at 100% coverage with clear descriptions: 'List of product SKUs to delete' and 'App package name'. The tool description adds no additional 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 uses a specific verb and resource ('Delete multiple in-app products') and clearly conveys batch scope, distinguishing it from delete_in_app_product and other delete_* siblings. The 'single operation' phrasing clarifies the batching behavior.

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 batch intent is implied by 'multiple' and 'single operation', but the description does not explicitly tell the agent when to prefer this tool over delete_in_app_product or when not to use it. No alternatives or exclusions 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?

With no annotations, the description carries the behavioral disclosure burden. It adds 'Disabled in read-only mode,' which is useful and signals mutation. However, it does not disclose partial-failure behavior, irreversibility, or side effects beyond deletion, so it provides moderate but incomplete transparency.

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

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

The description is two short sentences: the first states the core operation, the second notes the read-only restriction. Every word earns its place, and there is no extraneous information.

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

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

For a two-parameter tool with full schema coverage and an output schema, the description covers the essential purpose and the read-only restriction. It is complete enough for an agent to invoke the tool, though it could add explicit alternative routing or failure semantics.

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 already describes both parameters fully, with requests documented as 'List of DeleteOneTimeProductRequest bodies' and package_name as 'App package name.' At 100% schema coverage, the description adds no additional parameter meaning, matching the baseline of 3.

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

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

The description states a specific verb ('Delete'), a clear resource ('multiple one-time products'), and the batching scope ('in a single operation'). This distinguishes it from the single delete_one_time_product and batch_delete_in_app_products 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 phrase 'multiple one-time products in a single operation' clearly implies when to use this tool: when deleting several one-time products at once rather than calling the single-delete tool repeatedly. It does not explicitly name 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It adds one useful behavioral fact—'Disabled in read-only mode'—which signals the operation mutates state and may fail in read-only contexts. However, it does not mention whether deletes are irrevocable, whether related offers are affected, or what happens on partial success.

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: one sentence states the action and scope, and a second sentence conveys a relevant runtime constraint. Every word earns its place and there is no redundant restatement of the tool name.

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

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

The schema covers all parameters and an output schema exists, so the structural details are mostly complete. Still, the description lacks usage guidance, alternative routing, and meaningful behavioral context for a destructive batch operation, which leaves some ambiguity for an agent deciding whether this is the right tool.

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

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

The input schema already describes all four parameters with 100% coverage, so the baseline is 3. The description does not add any parameter-level meaning beyond the schema, such as the meaning of the wildcard values or how requests relate to the parent product and purchase option IDs.

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 ('Delete'), a specific resource ('one-time product offers'), and a clear scope ('in a single operation'), so an agent can grasp the core action. However, it does not explicitly distinguish this from sibling tools like batch_delete_purchase_options or batch_delete_one_time_products, which could cause confusion among similarly named batch operations.

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 about when to use this tool versus alternatives such as delete_one_time_product or batch_delete_purchase_options. The description only states what the tool does and that it is disabled in read-only mode; no context is given about choosing this over a single-item delete or another batch variant.

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

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

With no annotations provided, the description carries the behavioral burden. It clearly signals a destructive operation with 'Delete' and adds a useful constraint that it is disabled in read-only mode. However, it does not disclose whether deletion is reversible, whether it affects existing purchases, or how partial failures in the batch are handled.

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 core purpose and scope, then add the read-only restriction without filler. Every sentence contributes essential selection and invocation context.

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 specifies purpose, resource scope, batching behavior, and the read-only restriction, while the schema covers all parameter semantics and an output schema exists. It only omits edge-case behavior such as partial batch failures, but an agent has enough to select and invoke the tool correctly.

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

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

The input schema fully documents all three parameters (package_name, product_id, requests) with descriptions, including the contents of each request body, so schema coverage is 100%. The description adds no parameter-level meaning beyond the schema, which is acceptable given the high schema coverage.

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

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

The description uses a specific verb, 'Delete', and identifies the resource ('purchase options') and scope ('from a one-time product') with batching ('multiple ... in a single operation'). This clearly differentiates it from sibling tools like batch_delete_purchase_option_offers and batch_delete_one_time_products, which target different resources.

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

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

The scope is clear enough that an agent can infer when to use this tool: deleting multiple purchase options from a one-time product. However, the description does not explicitly name alternatives or state when not to use it, such as when deleting purchase option offers instead, so the guidance remains implicit rather than explicit.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'single operation' but does not explain side effects, confirm/confirmation_token requirements, irreversibility, failure behavior, or required permissions. This is a mutating deployment operation, so these gaps are significant.

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

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

The description is front-loaded with the core purpose and backed by a concrete use-case sentence. Both sentences earn their place with no redundant 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 7-parameter mutating deployment tool with no annotations, the description is not complete enough for correct invocation. It explains why to use the tool but omits the confirmation flow, per-track rollout behavior, and what happens on partial failure. The output schema helps, but the behavioral and parameter gaps remain.

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 71%, so most parameters are documented in the schema. The description adds little parameter-level meaning beyond the schema, and it does not clarify the undocumented confirm or confirmation_token parameters, which are relevant to this type of operation.

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 action and resource: 'Deploy an app to multiple tracks in a single operation.' This clearly distinguishes it from single-track tools like deploy_app and promote_release by emphasizing the batch/multi-track behavior. The examples of internal and alpha tracks reinforce the scope.

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

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

The description provides clear use cases: deploying to internal and alpha tracks simultaneously, or promoting to multiple testing tracks at once. It does not explicitly name alternatives or say when not to use it, but the context is strong enough for an agent to select it appropriately.

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

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

With no annotations, the description carries the full behavioral disclosure burden. It only says 'Get details,' implying a read operation, but doesn't mention batch size limits, authentication needs, product-state requirements, or error handling behaviors. The output schema may cover return shape, but not these behavioral traits.

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 redundancy or filler, and the core action is front-loaded. It is appropriately concise, though its brevity leaves out useful context that would be covered in other dimensions.

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 large sibling set and lack of annotations, the description is too sparse to fully orient an agent. It doesn't explain when batch retrieval is appropriate, what constraints apply, or how it relates to the many similar product-management tools, even though an output schema exists for return values.

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 both skus and package_name already described in the input schema. The description adds no parameter-level meaning beyond that, 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 states a specific verb ('Get'), resource ('in-app products'), and scope ('multiple at once'), which distinguishes it from single-product and listing tools. However, it doesn't explicitly differentiate from the similarly named batch_get_one_time_products sibling, so full sibling differentiation is absent.

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 choose batch_get_in_app_products over get_in_app_product, list_in_app_products, or batch_get_one_time_products. The phrase 'at once' weakly implies a use case, but there is no explicit context, alternatives, or exclusions.

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

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

The verb 'Get' clearly indicates a read-only operation, which is important since annotations are absent. The description does not disclose other behavioral aspects such as maximum batch size, behavior for invalid product IDs, or error semantics, so it only partially carries the behavioral transparency burden.

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 or redundant restatement of the title. Every word contributes to identifying the resource and batch behavior, making it appropriately sized for the simplicity of the operation.

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 two-parameter batch read with a full input schema and an output schema, the description is largely sufficient for an agent to select and invoke the tool. It does not explain API-level constraints like batch size limits or error handling, but the low complexity and existing structured metadata cover the core invocation needs.

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 two parameters already have adequate documentation. The description adds little beyond reinforcing that multiple product IDs are handled in one call, which the schema already conveys via product_ids being an array; no meaningful parameter semantics are added.

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 action ('Get details') on a specific resource ('one-time products') with an explicit batch scope ('multiple... at once'). This clearly distinguishes it from the single-item sibling get_one_time_product and from list_one_time_products, which returns all items rather than selected IDs.

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?

Usage is implied by the phrase 'multiple one-time products at once'—an agent can infer this tool is for retrieving several known products in a single call. However, the description does not explicitly name alternatives such as get_one_time_product for a single product or list_one_time_products for enumerating all products, so exclusion guidance is 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It only says 'detailed information' and 'at once,' and does not mention how missing or invalid order IDs are handled, whether results preserve input order, or any rate-limit or payload 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 a single, tightly written sentence with no filler. The key qualifier 'multiple' is front-loaded and immediately signals the batch nature of the operation.

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 batch-get operation with a full input schema and an output schema, the description is minimally adequate. However, it leaves gaps around behavior for nonexistent order IDs, partial success semantics, and whether the response corresponds directly to the requested order list.

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 for both package_name and order_ids, including the 1-1000 limit. The description adds no parameter-level meaning beyond what the schema already provides, 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 states a clear action and resource: getting detailed information for multiple orders at once. The word 'multiple' helps distinguish it from the sibling get_order tool, though it does not explicitly name that alternative.

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 'multiple orders at once' implies this tool is intended for batch retrieval rather than single-order lookup. However, it provides no explicit guidance on when to choose this over get_order or any related order tools.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only restates that the tool gets details; it does not mention permissions, batch size limits, wildcard semantics beyond what the schema already states, error behavior, or side effects. Since this is a read operation the risk is lower, but the disclosure is still thin.

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 sentence with no filler: action, resource, and scope are all present. It is front-loaded with the verb and conveys the key distinguishing trait ('multiple ... at once') immediately.

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 a 100%-described schema and an output schema, the agent has most invocation details. But the description adds little beyond the title, and with no annotations there is no coverage of auth constraints, call limits, or when this tool is preferable to list_purchase_option_offers. It is adequate but not fully self-sufficient.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds no extra meaning about the parameters beyond what the input schema already provides. It does not clarify how the requests array maps to the parent parameters or what the wildcards imply semantically.

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 action ('Get details'), a specific resource ('one-time product offers'), and a batch scope ('multiple ... at once'), which clearly distinguishes it from list-style siblings. It adds the nuance that this is a batch detail retrieval, not a listing operation.

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

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

The phrase 'at once' implies this tool is for retrieving multiple offers in a single call, which is some usage guidance. However, it does not explicitly contrast this with list_purchase_option_offers or single-offer alternatives, nor does it mention when not to use the 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?

No annotations are provided, so the description must carry the burden of behavioral disclosure. It only says 'get details' and 'single operation'; it does not state whether the operation is read-only, how partial failures behave, whether wildcard base_plan_id affects the batch, or any rate-limit or prerequisite 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, front-loaded sentence with no filler or redundancy. It conveys the essential purpose immediately 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?

The tool has a nested 'requests' parameter, no annotations, and no guidance on request-body construction or error behavior. The output schema exists, which helps, but the description is too sparse for an agent to correctly use this batch operation in context.

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

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

Schema description coverage is 100%, so the four parameters are already documented. The description adds no further param meaning, particularly for the 'requests' array whose item structure is left open-ended via additionalProperties: true. Baseline 3 is appropriate because the schema does the heavy lifting.

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

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

The description clearly states the verb 'Get', the resource 'subscription offers', and the operation scope 'multiple in a single operation'. This distinguishes it from the sibling tools get_subscription_offer and list_subscription_offers, which retrieve single offers or list offers.

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 'multiple subscription offers in a single operation' implies when the batch tool should be used, but it does not explicitly name alternatives or state when not to use it. Usage guidance is therefore only implicit, not explicit.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure, but it only restates the action. It does not mention read-only guarantees, maximum batch size, behavior for invalid or missing product IDs, partial-failure semantics, or whether details are returned in the same order as requested. The output schema mitigates return-format gaps, but no operational behavior is disclosed.

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 zero filler, and the core action is front-loaded. It is appropriately lean given that the schema fully documents parameters and an output schema exists, though it arguably leaves useful context on the table given the dense sibling environment.

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 2-parameter batch getter, the schema covers inputs and the output schema documents returns, so the description is minimally viable. However, the absence of annotations and the lack of any mention of batch-size constraints or how this differs from list_subscriptions leaves an agent to infer operational boundaries, creating a noticeable gap for a read tool in a large sibling family.

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 both parameters (package_name, product_ids) are already documented in the schema. The description's phrase 'multiple... at once' loosely echoes the array nature of product_ids but adds no meaning beyond the schema, warranting the baseline score of 3.

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

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

The description states a specific verb ('Get'), resource ('subscription products'), and scope ('multiple... at once'), which clearly marks the batch nature and distinguishes it from the single-item get_subscription. However, it does not differentiate it from list_subscriptions, which also returns multiple subscriptions, so the purpose is clear but the sibling differentiation is incomplete.

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 list_subscriptions, get_subscription, or the other batch_get_* tools. In a sibling set of 170+ tools with several overlapping subscription-reading operations, the agent receives zero direction on selection criteria, batch limits, or exclusions.

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

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

With no annotations, the description carries the burden and does disclose one useful behavioral trait: the operation is disabled in read-only mode, signaling it is a write. However, it does not explain what 'migrate' does to existing prices, whether the operation is reversible, or how partial batch failures behave.

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

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

Two sentences with zero wasted words. The primary purpose verb phrase is front-loaded, and the read-only restriction earns its place as a critical operational caveat in the second sentence.

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

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

Despite having an output schema, this is a batch mutation tool with no annotations, no effect semantics for 'migrate,' and an opaque request item type. The description does not explain how to construct valid request bodies, what consequences the migration has, or how it relates to the singular migrate_base_plan_prices sibling. An agent would need external knowledge to invoke this safely.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds no parameter-level meaning beyond the schema. Notably, the 'requests' items are opaque (additionalProperties: true) and the description only refers to 'MigrateBasePlanPricesRequest bodies' without clarifying their contents, but it does not need to compensate heavily given full schema coverage.

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

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

The description states a specific verb ('Migrate'), resource ('prices for multiple base plans'), and batch scope ('in a single operation'). This is clear and implicitly distinguishes it from the singular sibling migrate_base_plan_prices, though it never names that alternative explicitly.

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 given on when to use this tool versus its siblings (migrate_base_plan_prices, convert_region_prices, batch_update_base_plan_states). 'Disabled in read-only mode' is a constraint, not a usage rule. An agent has no basis for choosing batch over single migration.

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

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

No annotations are provided, so the description carries the full behavioral disclosure burden. It only notes 'Disabled in read-only mode,' which signals a write operation, but does not explain effects, failure behavior, permissions, idempotency, or batch constraints. This is thin for a mutating batch operation.

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

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

The description is two short sentences with no filler. The first sentence communicates the action and scope; the second adds a relevant mode restriction. 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?

With full parameter schema coverage and an output schema present, the core invocation contract is adequately supported. Yet the description under-specifies behavioral aspects of a batch mutation and does not explicitly route to the single-item sibling tools, making it minimally viable rather than fully 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 100%, and the schema already documents all three parameters, including the nested activateBasePlanRequest/deactivateBasePlanRequest structure. The description adds only general activate/deactivate intent, which is enough to meet the baseline but not to elevate it.

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 ('activate or deactivate'), a specific resource ('multiple base plans'), and the key batch property ('in a single operation'). This clearly distinguishes it from the single-plan siblings activate_base_plan and deactivate_base_plan.

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 frames this as the batched variant for multiple base plans, which implies when to use it. However, it does not explicitly name the single-item alternatives or state when not to use this tool, so the guidance is clear but not fully explicit.

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

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

With no annotations, the description carries the behavioral disclosure burden. It does disclose a meaningful restriction ('Disabled in read-only mode'), signaling this is a write operation with environment constraints. However, it does not mention partial-failure behavior, atomicity, permissions, or effects beyond 'update', leaving significant behavioral gaps.

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

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

Two short sentences, with the core action front-loaded and the read-only mode restriction placed right after. Every sentence earns its place without redundant wording.

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 two-parameter tool with fully described parameters and an output schema, the description is mostly complete. It clearly identifies the operation and the read-only restriction, though it could add a note about when to use patch_one_time_product instead or about batch failure semantics. Still, nothing essential is missing for invoking the tool.

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

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

Schema description coverage is 100%, so the schema already documents package_name and requests, including the UpdateOneTimeProductRequest structure with oneTimeProduct, updateMask, and optional regionsVersion/allowMissing. The description adds no parameter-level detail 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?

Description states a specific verb ('Update'), resource ('one-time products'), and scope ('multiple ... in a single operation'), which clearly distinguishes it from single-product tools like patch_one_time_product and from batch_get/batch_delete variants. The title reinforces the same meaning.

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 'in a single operation' implies the tool is for updating multiple items at once, but the description does not explicitly say when to prefer it over alternatives such as patch_one_time_product for single updates or batch_update_purchase_option_offers for other resource types. Usage context is implied rather than spelled out.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It accurately indicates a write/mutation operation and a read-only-mode restriction, but it does not disclose batch semantics such as partial failure behavior, atomicity, idempotency, or what happens when wildcard IDs resolve to multiple parents.

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. The primary capability is front-loaded, and the read-only-mode warning is the only additional sentence, both earning their 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?

The description is minimally viable: it identifies the operation, resource, and batch nature, and the output schema exists to explain return values. However, given the large sibling list and the absence of annotations, the definition would benefit from clarifying when this batch offer operation should be chosen over similar batch tools, and from noting behavioral aspects like partial failure or wildcard handling.

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 four parameters, including wildcard behavior and the structure of requests. The description adds no parameter-level meaning beyond the schema, which matches the baseline expectation.

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 operation ('Create or update multiple one-time product offers') and clearly identifies the resource type (purchase option offers). It distinguishes itself from similar batch tools like batch_update_one_time_products and batch_update_subscription_offer_states by explicitly naming one-time product offers.

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

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

The description provides no guidance on when to use this tool versus alternatives such as batch_update_one_time_products, batch_update_purchase_option_offer_states, or single-offer operations. The only usage-related note, 'Disabled in read-only mode,' is a constraint, not a selection criterion.

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

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

With no annotations, the description carries the behavioral burden. It discloses the state-changing nature and adds the useful 'Disabled in read-only mode' constraint. However, it does not mention atomicity, partial-failure behavior, irreversibility, or other side effects of the batch operation.

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

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

The description is two concise, front-loaded sentences with no redundant information. It names the action, the resource, the batch scope, and a key constraint without wasting 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?

Together with the fully described input schema and output schema, the description gives enough context to select and invoke the tool correctly. Minor gaps remain around behavior details and explicit alternative routing, but the core purpose and constraints are clear.

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 every parameter is already documented. The description adds no additional parameter semantics beyond what the schema provides, making the baseline 3 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 action ('Activate, deactivate or cancel') on a specific resource ('multiple one-time product offers') in a single operation. This clearly distinguishes it from the single-offer sibling tools like activate_purchase_option_offer and from offer-editing 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 phrase 'in a single operation' clearly indicates the batch use case and implies it should be used instead of repeated single activation/deactivation/cancellation calls. However, it does not explicitly name the single-offer alternatives or state when not to use this 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?

With no annotations, the description carries the behavioral burden. It discloses that the operation is disabled in read-only mode, which is useful, but it does not mention side effects, permission requirements, or partial failure behavior for the batch request.

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 first delivers the action and scope, and the second adds the key operational constraint. Information is appropriately front-loaded.

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

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

For a three-parameter batch tool with full schema coverage and an output schema, the description covers the essential operation and the read-only restriction. It is slightly thin on behavioral context but not missing invocation-critical 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 coverage is 100%, so the schema already explains package_name, product_id, and requests. The description's activation/deactivation wording loosely maps to the nested activatePurchaseOptionRequest/deactivatePurchaseOptionRequest bodies but adds no new parameter-level meaning.

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 states a specific action ('Activate or deactivate') and resource ('multiple purchase options') in a single operation. It is clear on its own, though it does not explicitly differentiate from similarly named siblings like batch_update_purchase_option_offer_states.

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 when-to-use guidance is provided beyond doing the operation 'in a single operation,' and no alternatives are named. 'Disabled in read-only mode' is an operational constraint, not guidance for choosing this tool over related batch/activation 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?

With no annotations, the description carries the behavioral disclosure burden, but it only adds 'Disabled in read-only mode.' This signals a mutating operation and an environment restriction, yet it does not explain partial-failure behavior, whether this is a full overwrite or patch, or what auth/editing context is required.

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 and front-loaded: the first sentence captures the core purpose, and the second adds a useful mode restriction. No sentence is wasted.

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 good schema coverage and an output schema, the description is not complete enough for selection among many batch/update siblings. It lacks usage criteria, mutation semantics, and behavior on partial failures, which are important for a batch write with no annotations.

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 baseline is 3. The description adds no parameter detail beyond the schema, but the schema already documents package_name, product_id, base_plan_id, and requests, including the updateMask and regionsVersion contents.

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 concrete action — updating multiple subscription offers in one operation — with a clear verb and resource. However, it does not explicitly differentiate this from sibling tools like batch_update_subscription_offer_states or patch_subscription_offer, so it misses the highest level of purpose clarity.

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

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

There is no guidance about when to use this tool instead of the single-offer update or state-update siblings. The phrase 'in a single operation' only implies batching; it does not state preconditions, exclusions, or alternatives.

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

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

The description clearly states the mutation behavior — activating or deactivating offer states — and adds the operational restriction 'Disabled in read-only mode,' which is useful since no annotations are provided. However, it does not disclose partial-failure behavior, reversibility, permission requirements, or whether the batch is atomic, which matters for a state-changing batch operation.

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

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

The description is two short sentences with no filler: the core operation is front-loaded, and the read-only restriction is stated separately. 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?

The schema provides full parameter documentation and an output schema exists, so the description does not need to explain return values. Still, for a batch mutation tool, the absence of guidance about when to use this over the single-offer siblings and the lack of batch-failure semantics leave the description only minimally 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 100%, with each parameter already documented, including the nested request structure. The description adds no new parameter-level meaning beyond restating the activate/deactivate intent, 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 opens with a specific verb phrase, 'Activate or deactivate multiple subscription offers,' naming both the action and the resource with a clear batching scope. This effectively distinguishes it from single-offer sibling tools like activate_subscription_offer and deactivate_subscription_offer, even without naming them.

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

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

The phrase 'in a single operation' implies the batching use case, and the operation type is clear. However, there is no explicit when-to-use/when-not-to-use guidance and no mention of single-offer alternatives or conditions that would favor activate_subscription_offer instead.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It only adds that the tool is disabled in read-only mode, which is useful, but it does not explain atomicity, partial-failure behavior, permissions, or side effects for a batch mutation 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 with no filler. The core purpose is front-loaded, and the read-only restriction is a relevant secondary note. 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 batch mutation with many closely related siblings, this description is incomplete: it omits when-to-use guidance, batch failure semantics, and request-size or atomicity considerations. The schema and output schema cover parameters and return values, but the selection and behavioral gaps remain.

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 package_name and requests already documented, including the UpdateSubscriptionRequest fields. The description adds no additional parameter-level meaning, so it meets the baseline without compensating further.

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 operation: updating multiple subscription products in a single call. This distinguishes it from single-subscription update tools and, through the phrase 'subscription products,' from offer/base-plan batch tools. It does not explicitly contrast siblings like patch_subscription, so it stops short of full differentiation.

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

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

No guidance is given about when to choose this tool over patch_subscription, batch_update_subscription_offers, or batch_update_base_plan_states. The only condition mentioned, 'Disabled in read-only mode,' is a mode restriction rather than a selection rule among alternatives.

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

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

With no annotations, the description carries the behavioral disclosure burden. 'Browse' implies a non-mutating read, but the description does not explicitly state side-effect-free behavior, result shape, or any constraints such as pagination or locale 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?

A single sentence that front-loads the resource and enumerates the three chart types. There is no filler or redundant explanation.

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

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

Given that all six parameters are optional and fully described in the schema, and an output schema exists, the description does not need to explain return values. It is sufficient for a simple read-only chart lookup, though it could have added explicit read-only confirmation and alternative tool routing.

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 the baseline applies. The description adds only a modest semantic link between 'top free/top paid/top grossing' and the collection values TOP_FREE/TOP_PAID/GROSSING; the parameters themselves are already documented in the schema.

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

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

The description names a concrete resource ('store chart') and the three collection variants (top free, top paid, top grossing), which maps cleanly to the collection parameter and sets it apart from search or listing tools. It is clear, though the verb 'browse' is generic and no sibling is explicitly referenced.

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 intended use is implied: get ranked store charts. However, there is no explicit statement of when to use it over alternatives or when not to use it, even though many nearby tools (e.g., search_store, get_store_listing) could overlap.

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

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

With no annotations, the description carries the burden of behavioral disclosure. It does disclose that the operation is unavailable in read-only mode, which is useful, but it does not explain side effects, reversibility, or what happens if the recovery action is already deployed. This is sufficient but minimal.

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, information-dense sentences. The core action is front-loaded, and the read-only restriction earns its place by preventing incorrect invocation. 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?

For a simple two-parameter cancel operation with an output schema, the description is minimally complete. However, it lacks lifecycle context such as whether cancellation applies only to pending recoveries and how this relates to related tools like deploy_app_recovery or add_app_recovery_targeting.

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 covers both required parameters with clear descriptions ('App package name' and 'App recovery action ID'), so schema coverage is 100%. The description adds no additional parameter-level meaning beyond what the schema already provides, matching the baseline.

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, 'Cancel', with a clear resource, 'app recovery action'. It is distinguishable from sibling operations like create_app_recovery, deploy_app_recovery, and list_app_recoveries, though it does not explicitly name them.

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

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

There is no guidance on when to use this tool versus alternatives, and no mention of prerequisites or lifecycle context. The only added note, 'Disabled in read-only mode', is a constraint rather than a usage-selection rule.

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

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

With no annotations, the description carries the burden of behavioral disclosure and does state the mutation ('Cancel') and the read-only restriction. It does not disclose consequences such as whether cancellation is irreversible, affects existing purchases, or is only valid for offers in certain states, so the behavioral picture is incomplete but not misleading.

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 the core action and resource front-loaded and the read-only caveat placed second. Every sentence contributes useful information 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?

The description covers the basic operation and read-only constraint, and an output schema exists so return-value documentation is not required here. However, for a cancellation action among many offer-management siblings, it would benefit from clarifying how 'cancel' differs from 'deactivate' or 'delete' and whether any state or timing prerequisites apply.

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

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

The input schema has 100% description coverage, with each parameter already explained as the relevant ID. The description adds no additional parameter semantics, but none are needed because the schema fields are self-explanatory in context.

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

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

The description states a specific action ('Cancel') and a specific resource ('a one-time product offer'), with an example ('pre-order offer') that clarifies the intended object. It distinguishes the tool from most siblings by naming the one-time product offer context, though it does not explicitly contrast with the similarly named deactivate_purchase_option_offer.

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 example '(e.g. a pre-order offer)' implies the intended use case, and the note 'Disabled in read-only mode' gives a mode restriction. However, there is no explicit guidance about when to use this tool instead of related offer-lifecycle tools like deactivate_purchase_option_offer or delete_purchase_option_offer, and no mention of preconditions such as offer state.

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

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

With no annotations, the description carries the full burden of disclosing behavior, but it only says 'cancel' without explaining whether this stops renewals, refunds money, revokes access, or is reversible. The schema's cancellation_type field hints at behavior, but the description itself adds no transparency.

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

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

The text is short and free of fluff, but it is under-specified rather than usefully concise. It repeats the title and lacks the scoping, behavioral, or usage detail that would earn a higher score.

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 parameter schema and output schema cover some mechanical details, but the tool is one of several similar subscription-purchase mutations. The description gives no information about effect, cancellation types, or when to choose this over revoke/defer/refund, making it incomplete for correct tool 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?

Schema description coverage is 100%, and the schema already documents package_name, purchase_token, and cancellation_type with default values. The description adds no additional parameter meaning, 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?

States the core action ('Cancel a subscription purchase') and names a clear resource, but it is vague about what 'cancel' means in this API and does not differentiate from sibling tools like revoke_subscription_purchase or defer_subscription_purchase. It essentially restates the title without adding operational detail.

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?

Provides no guidance on when to use this tool versus the many overlapping subscription-related siblings. There are no conditions, prerequisites, or exclusions stated.

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

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

With no annotations, the description carries the behavioral disclosure burden. It reveals an important nuance: the API accepts 50-character titles but Play policy caps them at 30, and this tool reports the policy-level warning. This is meaningful behavioral context beyond the schema.

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

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

The description is front-loaded with the core purpose and then uses a concrete example to explain why this tool matters. Every sentence contributes: the policy/API distinction, the warning scenario, and the routing to validate_listing_text. 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?

With an output schema present, the description doesn't need to explain return values. It covers purpose, policy nuance, and alternative selection. The only minor gap is that all parameters are optional without clarification of whether at least one is expected, but this is not a critical omission given the schema and overall clarity.

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 each parameter already documented as 'App title', 'Full description', and 'Short description'. The description adds no parameter-specific detail beyond the schema, 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 states a specific verb and resource: 'Check listing text against Play POLICY limits.' It explicitly distinguishes itself from validate_listing_text, clarifying that this tool checks policy-level constraints rather than API-level acceptance.

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 explicit usage guidance: 'Use validate_listing_text for the API-level check before an upload; use this before deciding on the text.' It also explains the real-world consequence (upload succeeds but fails review), making the selection rationale 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?

With no annotations, the description carries the behavioral disclosure burden. It explains the required environment variable, the required Play Console permission, and that the tool returns a diagnosis with the exact remedy when something is missing. This reveals the tool is a non-mutating preflight check, which is strong behavioral context for an unannotated 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 front-loaded with the core purpose and a direct instruction ('Run this first'), then provides exactly the necessary setup context and return behavior. Every sentence earns its place, and the structure is easy to scan.

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 zero-parameter diagnostic tool, the description fully covers what is verified, why it is needed, the exact configuration requirements, and what the tool returns. The presence of an output schema also relieves the description from detailing the return structure. Nothing essential 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?

The tool has zero parameters and the schema coverage is 100%, so there is no parameter detail the description needs to add. The baseline for zero-parameter tools is 4, and the description appropriately focuses on what the check validates rather than inputs.

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

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

The description states a specific action ('Verify the Play reports bucket is configured and readable') on a clear resource, and positions it as a prerequisite check. It is clearly distinct from the sibling report-fetching tools like get_installs_report because it targets configuration and access rather than data retrieval.

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

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

It explicitly instructs 'Run this first', giving a clear when-to-use directive before report-related tools. It explains why it must run first: the reports come from a private bucket that needs separate setup. However, it does not name the specific sibling report tools or state explicit when-not-to-use conditions, leaving some routing to inference.

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

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

With no annotations provided, the description carries the burden and does disclose important behaviors: images are not cloned, existing target-locale listings are preserved unless overwrite is true, and it cannot silently replace translated copy. It does not mention the preview/confirmation workflow, but the schema begins to cover that.

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?

Roughly 70 words in three short paragraphs, with the purpose front-loaded in the first sentence. Every sentence contributes a distinct fact: scope, field list, image exclusion, and overwrite behavior.

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 rich input schema, full parameter descriptions, and an output schema, the description covers the key selection and safety facts without needing to repeat return values. A small gap is that the confirmation-token/preview flow is only implied via the schema and not tied into the description's narrative.

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 six parameters are described there. The description adds real semantic value by defining what 'copy' includes, explicitly excluding images, and clarifying that overwrite is what controls replacement of an existing target listing.

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 opens with a specific verb and resource: 'Copy a store listing's TEXT from one locale to another.' It then enumerates exactly what is copied (title, descriptions, video) and explicitly excludes images, cleanly distinguishing this tool from broader listing-related tools.

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

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

The description gives a clear when-not and alternative: images are not cloned, and cloning them would require a different download/re-upload operation with different failure modes. It also explains when overwrite matters ('left alone unless overwrite is set'), though it does not name a specific sibling tool as an alternative.

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

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

With no annotations, the description carries the behavioral disclosure burden. It discloses that the preview is read back from Play, lists stagged locales and binaries, and explains that content is derived from earlier calls rather than this call's arguments. This is meaningful behavioral information beyond the schema, though it leaves some details like irreversibility or confirmation flow to inference.

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 short, front-loaded with purpose, and every sentence adds context about the workflow. The 'Two-step.' fragment is slightly terse, but the overall structure is efficient and easy to parse.

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 explains the staged-content and preview behavior, which is the most critical non-obvious context. However, it does not fully explain the two-step confirmation flow needed to actually execute the commit, and with no annotations and a high-stakes publishing action, a bit more operational detail would be warranted. The output schema does reduce the need to describe return values.

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 five parameters in sufficient detail. The description does not add per-parameter meaning, but it provides valuable context about the preview mechanism that relates to confirm and confirmation_token. This aligns with the baseline 3 for full schema coverage.

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

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

The description states a specific verb and resource: 'Commit an edit, publishing everything staged in it.' This clearly conveys that the tool finalizes and publishes an edit. It does not explicitly differentiate itself from sibling tools like create_edit, describe_edit, validate_open_edit, or delete_edit, but 'publishing everything staged' strongly implies its finalization 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 gives workflow context: it is a two-step operation whose content came from earlier calls, meaning the agent should use it after staging edits. It does not name alternatives or state when not to use this tool, so the guidance is more implied than explicit.

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

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

No annotations are provided, so the description carries the full transparency burden. It clearly discloses the state change ('marks the product as consumed') and the user-facing effect, but omits details like irreversibility, permission requirements, failure modes, and response behavior. It is minimally adequate but not rich.

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 core action and product scope are front-loaded, and the consequence is stated 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?

This is a simple three-parameter mutation with full parameter documentation and an output schema. The description covers the essential semantics and effect, though it leaves alternative-tool differentiation to 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?

Schema description coverage is 100%, so the parameters are already fully documented in the input schema. The description adds no extra parameter-level meaning, so the baseline 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 opens with a specific verb, 'Consume', and a clear resource, 'in-app product purchase'. The parenthetical 'for consumable products' and the stated effect ('user can purchase it again') clearly distinguish this from sibling tools like acknowledge_product_purchase.

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 'for consumable products' provides a scope condition and the repurchase consequence implies when consumption is appropriate. However, it does not explicitly name alternatives such as acknowledge_product_purchase or state when consumption should NOT be used, leaving some routing to inference.

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

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

No annotations are provided, so the description carries the behavioral burden. It does disclose the key behavioral trait: it returns Play's own recommended prices, not a naive FX conversion, and rounds values to local price conventions. It does not explicitly state 'no changes are made' or cover rate limits, but the 'Returns' framing makes the read-only nature reasonably clear.

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, zero filler. The primary action is front-loaded and the important caveat about Play-recommended pricing is expressed immediately. 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?

The tool has only three required parameters, all documented, and an output schema is present, so return values are covered elsewhere. The description is sufficient for invoking the tool correctly, though it could optionally mention unsupported currencies or clarify that existing prices are not modified.

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 all three parameters are already documented in the input schema. The description does not add any parameter-level nuance beyond calling the input a 'source price,' so it provides no meaningful value beyond the schema.

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

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

The description states a specific verb and resource: 'Convert one source price into every Play region's price.' It also distinguishes the behavior from a naive FX conversion by clarifying that Play's recommended prices are returned, so an agent can clearly tell what the tool accomplishes.

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 usage scenario: when you need regional prices from a single source price. However, it does not explicitly mention when not to use it or how it compares to related sibling tools such as migrate_base_plan_prices, which also deals with region prices. The context is clear but excludes alternative guidance.

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

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

With no annotations, the description carries the full behavioral burden. It does disclose two non-obvious traits: the created action is a 'draft' (non-final state) and the operation is 'Disabled in read-only mode' (a safety constraint). However, it omits side effects, reversibility, and whether an edit/commit context is required — for a mutation tool with zero annotations, this is only partial disclosure.

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

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

Two short sentences, front-loaded with the core purpose ('Create a draft app recovery action') and a useful second sentence about read-only mode. Every word earns its place; efficient without being bloated.

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?

An output schema covers return values, and the input schema covers parameters, so the description's remaining job is workflow context — and it fails at that. It doesn't explain what 'draft' means in the recovery lifecycle, what comes next (targeting, deploy), or how it differs from the recovery-related siblings. An agent has no way to sequence this tool 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 100%, so the baseline of 3 applies. The description itself adds nothing about parameters, but the schema already documents both: package_name as 'App package name' and recovery as the 'CreateDraftAppRecoveryRequest resource body' with an example. No compensation needed.

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 and resource: 'Create a draft app recovery action.' The word 'draft' adds meaningful scope, distinguishing this from deploy/cancel operations among siblings. However, it doesn't explicitly name any sibling it differs from, so differentiation is implied rather than stated.

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

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

No guidance is given on when to use this tool versus its close siblings (deploy_app_recovery, cancel_app_recovery, add_app_recovery_targeting, list_app_recoveries). Usage is only trivially implied by the verb 'create'; there is no mention of workflow position, prerequisites, or exclusions.

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

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

With no annotations provided, the description carries the full burden of disclosing behavioral traits. It only adds 'Disabled in read-only mode,' which hints at a write operation, but it does not state permissions, side effects, idempotency, or what happens on success or failure.

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

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

The description is short and front-loaded with the core purpose. The second sentence about read-only mode is relevant and earns its place, though the overall definition is thinner than it could be.

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 schema fully documents parameters and an output schema exists, so return-value explanation is unnecessary. However, the description does not explain when a device tier config should be created versus other configuration operations, and the behavioral profile is underdeveloped.

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

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

Schema description coverage is 100%, so the schema already documents all three parameters, including the nested config object and the boolean default for allow_unknown_devices. The description adds no parameter-level meaning beyond the schema, 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 opens with 'Create a new device tier config,' which names a specific action and a specific resource. This is immediately distinguishable from sibling read-only tools like get_device_tier_config and list_device_tier_configs.

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 about when to use this tool versus get/list variants or other configuration tools. The only contextual note, 'Disabled in read-only mode,' is an availability constraint, not a usage guideline.

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

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

No annotations are provided, so the description carries the behavioral disclosure burden. It clearly discloses that nothing reaches users until commit_edit, that edits expire after about seven days, and that abandoned edits are harmless but can be discarded with delete_edit. This is substantial context beyond a simple 'create' action, though permission requirements and error cases are not covered.

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 well-structured: purpose first, then workflow, then lifecycle/cleanup. Every sentence adds useful information, with no filler or repetition.

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 with an output schema, this description is complete enough. It explains what the edit is for, how to use it in the broader workflow, how it relates to sibling tools, and what happens if it is abandoned.

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 package_name is already fully documented in the schema. The description does not add parameter-specific meaning, but with full schema coverage 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?

States a specific action ('Open a draft edit') and the single output ('return its ID'). The wording immediately differentiates this from lifecycle siblings like commit_edit, delete_edit, and describe_edit without relying on the title.

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?

Provides an explicit workflow: stage changes against the returned edit ID, inspect with describe_edit, then commit once. It names the relevant sibling tools and makes the intended lifecycle clear, though it does not explicitly state when not to use this tool or provide exclusion conditions.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only restates the core action ('create') and adds no information about mutability, idempotency, required authorizations, side effects, uniqueness constraints, or what occurs on success. The parenthetical 'alternative billing' adds some domain context, but no real behavioral transparency.

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

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

The description is one compact, front-loaded sentence with no filler. Every word contributes meaning, and the parenthetical clarification is valuable without adding bloat.

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 create operation with full schema coverage and an output schema, the description is minimally adequate. However, it lacks any guidance on when to use this instead of related external-transaction tools, and it gives no behavioral caveats. The nested transaction object would benefit from at least a phrase clarifying what kind of payload is expected.

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 already provides 100% coverage of all parameters with descriptions for package_name and external_transaction_id. The description adds minimal meaning beyond the schema; 'alternative billing' hints at the transaction's purpose, but it does not clarify the nested transaction object structure or parameter relationships. Baseline 3 is appropriate given the high schema coverage.

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

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

The description states a specific verb ('create'), a specific resource ('external transaction'), and adds the clarifying qualifier 'alternative billing' that distinguishes it from regular billing operations. It clearly identifies what the tool does and is easily distinguishable from sibling tools like get_external_transaction and refund_external_transaction.

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 alternatives. It does not mention that get_external_transaction or refund_external_transaction should be used for reading or refunding external transactions, nor does it give any contextual cues about prerequisites or business scenarios for creating an external transaction.

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

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

With no annotations, the description carries the behavioral burden. It does disclose one meaningful operational trait ('Disabled in read-only mode') and implies a write operation, but it does not describe side effects such as whether an existing grant is replaced, permission requirements, or reversibility.

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, and the core action is front-loaded. It loses one point for being so terse that it borders on restating the title rather than expanding on it.

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 schema and output schema cover parameters and returns, and the description adds the read-only constraint. However, it omits how create_grant relates to update_grant/delete_grant and what creating a grant entails for an existing user, leaving selection context incomplete.

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. The description adds no additional semantic nuance beyond the schema's 'app-level access' context, so the 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?

Clearly states the operation and object: granting a user app-level access, which is more specific than the title. However, it does not explicitly distinguish itself from update_grant/delete_grant or state that it creates a new grant resource rather than modifying an existing one.

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?

Provides no when-to-use guidance and does not mention alternatives such as update_grant or delete_grant. The only conditional phrase, 'Disabled in read-only mode,' is a runtime constraint, not guidance on selecting this tool over siblings.

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

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

With no annotations, the description carries the full behavioral disclosure burden. It does disclose that this is a mutating operation and that it is disabled in read-only mode, which is useful. However, it does not mention side effects such as whether the created product is a draft requiring an edit/commit workflow, or what happens on validation failure.

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

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

Two short sentences with the core action front-loaded and a valuable operational caveat second. 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?

The basics are covered: a simple schema, an output schema, and a clear create action. However, the nested product object is loosely typed with additionalProperties true, and the description does not explain required subfields, SKU uniqueness, or the relationship to edit/commit operations, leaving room for incorrect invocation.

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

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

Schema description coverage is 100%, so the baseline of 3 applies. The description itself adds no parameter-level detail, but the schema already describes package_name and gives example fields for the product body, which is adequate minimally.

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?

States a specific verb ('Create'), a clear resource ('in-app product'), and a scope ('catalog'). This distinguishes it from sibling operations like update_in_app_product, delete_in_app_product, and list_in_app_products without requiring the agent to inspect the schema.

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 no guidance on when to choose this tool over related creation tools like create_subscription, create_edit, or the one-time-product variants. The phrase 'Disabled in read-only mode' is an operational constraint rather than usage direction.

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

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

No annotations are provided, so the description carries the burden. It discloses that this is a creation operation and notes that it is 'disabled in read-only mode,' which is useful behavioral context. However, it does not mention permissions, reversibility, or any preconditions such as requiring an active edit/draft, leaving some behavioral ambiguity.

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: the first states the core purpose, and the second adds a practical constraint. Every sentence earns its place, 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?

The output schema exists and parameter coverage is complete, so the definition is minimally viable for invoking the tool. However, the description lacks usage guidance, alternatives, and preconditions, and it does not clarify the expected structure of the nested 'subscription' resource in practice. Given the large sibling set and no annotations, a bit more context would make it substantially more 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 100%, so the schema already documents all four parameters. The tool description adds no parameter-level detail, so it neither improves nor undermines the schema information. The nested 'subscription' body remains vague in both places, but the baseline of 3 is appropriate given full schema coverage.

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

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

The description uses a specific verb and resource: 'Create a new subscription product in the catalog.' This clearly distinguishes it from sibling tools like create_subscription_offer, patch_subscription, and get_subscription, and the catalog scope further narrows its purpose.

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 this when you need to create a new subscription product. However, it provides no explicit guidance on when not to use it or how it relates to sibling tools such as create_subscription_offer or patch_subscription, so the agent must infer the selection logic from the name and schema.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does disclose that the tool is 'Disabled in read-only mode,' indicating a mutating operation, but it does not mention side effects, prerequisites, idempotency, whether creating with an existing offer_id fails or replaces, or any other behavioral traits.

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

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

The description is brief and front-loaded with the core action. The second sentence about read-only mode earns its place as an important operational constraint. Slight redundancy exists between the title and the first sentence, but overall it is efficient.

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 six parameters, a nested 'offer' object, and many closely related siblings, yet the description provides only the basic create action and the read-only note. It does not explain the relationship to the parent plan/product, what the offer resource should contain, or when creating is appropriate. The output schema reduces the need to describe return values, but the operational and domain context is still thin.

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 six parameters. The description adds no parameter-level meaning beyond the schema, which matches the baseline of 3 for full schema coverage.

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

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

The description states a clear verb and resource: 'Create a new subscription offer.' This is unambiguous and distinct from sibling tools like get_subscription_offer, patch_subscription_offer, or delete_subscription_offer, though it does not explicitly name those 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?

No guidance is provided about when to use this tool versus alternatives such as patch_subscription_offer for modifying an existing offer. The only usage-related context is 'Disabled in read-only mode,' which is a constraint, not a usage guideline. There are no when-to-use 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?

With no annotations provided, the description adds some useful behavioral context: the operation is disabled in read-only mode, which signals that this is a mutating action. It also states dependency on an uploaded app bundle. However, it does not disclose potential side effects, permission requirements, or whether existing variants are affected.

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, front-loaded sentences with no filler. The core action and source are stated first, and the operational restriction is a brief, useful addition.

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 output schema exists, so return-value documentation is not required, but the description leaves important operational context unstated. It does not explain what a system APK variant is, how the variant body should be structured, or whether a prior upload bundle or edit is required. For a create-style mutation tool with no annotations, this is a meaningful completeness 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?

Schema description coverage is 100%, so the schema already documents the three parameters. The description adds no additional parameter-level detail beyond what the schema provides, which matches the baseline for fully covered parameter documentation.

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

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

The description states a specific verb and resource — 'Create a system APK variant' — and identifies the input source ('from an uploaded app bundle'). This clearly distinguishes it from related sibling tools like get_system_apk_variant, list_system_apk_variants, and download_system_apk_variant.

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 an uploaded app bundle' implies the prerequisite, and the verb 'Create' implies when the tool is appropriate. However, there is no explicit when-to-use/when-not-to-use guidance or mention of alternatives, only the generic read-only-mode restriction.

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

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

No annotations are provided, so the description carries the burden. It discloses that this creates a new named track and that built-ins already exist, which is useful behavioral context. However, it does not mention side effects, prerequisites such as an open edit, idempotency, or what happens if the track already 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?

The description is three short sentences with no wasted words. The main action is front-loaded, and the following sentences provide essential context about built-in tracks and closed testing groups 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 create tool with full schema coverage and an output schema, the description covers the essential context: what is created, why it exists, and how it relates to built-in tracks. It does not explain return values, but the output schema handles that, and there are no complex prerequisites mentioned that would be necessary to call 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 100%, so the schema already documents both required parameters and the optional releases field. The description adds no parameter-level meaning beyond calling the track 'named' and 'custom,' so the baseline score of 3 is appropriate.

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

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

The description uses a specific verb and resource: 'Create a custom closed-testing track.' It also differentiates this from the four built-in tracks and clarifies that this tool creates an additional named track, which clearly distinguishes it from update_track and other track-related 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 the appropriate use case: when a closed testing group beyond the built-in tracks is needed. It does not explicitly name alternatives or say when not to use it, but it provides enough context by stating that built-in tracks always exist.

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

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

With no annotations, the description carries the burden of behavioral disclosure. It adds one useful behavioral detail ('Disabled in read-only mode') and clearly implies a mutating operation via 'Grant', but it does not disclose permissions required, side effects, idempotency, or whether existing user access is replaced or appended.

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 filler, and the primary purpose is stated first. The read-only constraint earns its place as a compact but important behavioral warning.

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 schema covers parameters and an output schema exists, so structural invocation details are largely complete. Still, the description omits authorization context, side-effect details, and usage routing relative to similar sibling tools, leaving the definition minimally viable but not thorough.

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 baseline applies; both parameters are already described in the schema. The description adds no parameter-specific meaning beyond the schema's own documentation, but it does reinforce the roles of developer_id and user as the target account and the granted user.

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 action ('Grant a user access') and a specific resource ('a developer account'), making the tool's core purpose clear. It is implicitly distinguishable from sibling tools like list_users or create_grant, though it does not explicitly differentiate itself from similar grant-related operations.

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 'Disabled in read-only mode' line provides an explicit when-not condition, which is useful for tool selection in read-only contexts. However, the description gives no guidance on when to prefer this tool over related siblings such as create_grant or update_user.

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

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

No annotations are provided, so the description must carry behavioral disclosure. It does disclose the key consequence (existing subscribers keep their subscription) and the read-only restriction. It does not mention reversal, required permissions, or side effects on related offers, leaving gaps for a mutation tool.

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

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

Three short sentences; the first states the action and primary effect, the second adds the most important exception, and the third adds a constraint. No filler or repetition.

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?

Combined with a fully described schema and an output schema, the description covers the core semantics and scope of the operation. It is not a 5 because it omits any guidance on re-activation, preconditions, or relationships to the sibling state-management tools.

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 parameters are already documented in the input schema. The description adds no extra parameter-level guidance, matching the baseline for fully covered schemas.

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