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

With no annotations provided, the description carries the transparency burden; it discloses that confirmation is required, but does not mention side effects, prerequisites, or failure modes.

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

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

One short sentence of 8 words; all content is meaningful and no redundancy.

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

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

The description plus schema/output schema is functional, but lacks alternative guidance and behavioral details; adequate but not comprehensive given the 5 parameters and mutation nature.

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

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

Schema has 100% coverage; description adds the ownership constraint ('caller-owned orders') for order_ids, while 'Requires confirmation' mirrors the schema's confirm description.

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

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

Description clearly states 'Apply for an invoice covering caller-owned orders' – a specific action (apply) on a resource (invoice) with scope (caller-owned orders), distinguishing it from sibling invoice tools like preview/list/cancel.

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?

Description implies usage context through 'caller-owned orders' and 'Requires confirmation' but does not explicitly name alternatives such as preview_invoice or cancel_invoice, nor when not to use it.

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. It only says 'cancel' without detailing side effects, irreversibility, or the need for confirmation (though the confirm parameter hints at it). This is insufficient.

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

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

The description is a single concise sentence with no unnecessary words, making it highly 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?

For a simple cancel operation, the description covers the basic action but lacks context about the confirmation requirement, potential errors if the request is not pending, and any return values. It is adequate but not comprehensive.

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

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

The schema descriptions cover both parameters (request_id and confirm) with adequate clarity. The tool description adds no extra meaning beyond the schema, so a baseline score of 3 is appropriate.

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

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

The description clearly states the action: 'Cancel a pending access request.' It is specific and distinguishes from other operations like creating or listing requests.

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

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

The description implies usage for canceling a pending request, but it does not explicitly state when to use this tool versus alternatives, nor does it mention the confirm flag requirement or any preconditions.

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 behavioral burden. It discloses the caller-owned restriction and the confirmation requirement, which is useful, but it does not mention the consequences of cancellation (e.g., irreversibility, refund impact, or status changes).

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 or repetition. The essential information is front-loaded and every word earns its place.

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

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

For a simple two-parameter tool with an output schema, the description is nearly complete: it states the action, scope, and safety precondition. It could add a note about post-cancellation effects, but it is adequate for an agent to invoke the tool 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%, with both parameters documented: invoice_id as 'Invoice UUID' and confirm with 'Must be true to cancel the invoice.' The description's 'Requires confirmation' largely restates the confirm parameter, so it adds little beyond the schema.

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

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

The description uses a specific verb and resource: 'Cancel a caller-owned invoice.' It clearly identifies the operation and adds the 'caller-owned' scope, which helps distinguish it from sibling tools like get_invoice, apply_invoice, or preview_invoice.

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: the invoice must be caller-owned and confirmation is required. It does not explicitly name alternatives or state when not to use it, but the cancellation purpose is obvious enough among the invoice-related 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?

No annotations exist, so the description must carry the burden of behavioral disclosure. The verb 'Check' clearly implies a non-mutating, read-style operation involving frame ancestry, which is adequate but minimal; more detail about the security implications (e.g., clickjacking/CSRF) or the nature of the boolean result would improve transparency. No contradiction with annotations 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?

A single, front-loaded sentence with zero filler. Every word contributes meaning and the structure is immediately scannable.

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 one-parameter, non-nested tool with a full parameter schema and its own output schema, the description covers the essentials. However, the absence of annotations and the security-critical nature of an origin-frame check mean slightly more contextual guidance would make this genuinely 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% (the single 'origin' parameter is described as 'Embedding origin or referer.'), which warrants the baseline of 3. The description reinforces the semantic link between 'origin' and framing but adds no meaning beyond what the schema already conveys.

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 'Check whether an origin may frame the login page' uses a specific verb plus resource and is immediately understandable. It also differentiates from the domain-verification siblings (e.g., acedatacloud_verify_site_domain, acedatacloud_check_site_domain) by making the framing/auth-context concern explicit.

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

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

No guidance is provided on when to use this tool versus the similarly scoped domain check tools. There are no exclusions, prerequisites, or mentions of alternatives, leaving the agent to infer appropriate usage from the tool name alone.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. 'Check whether' clearly implies a non-mutating, read-only operation, but it does not describe the nature of the check, potential side effects, permissions, or how the result is represented. This is acceptable for a simple check tool but lacks richer behavioral context.

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

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

The description is a single, focused sentence with no filler or repetition. It states the essential purpose efficiently and earns its place without extraneous detail.

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

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

For a simple two-parameter check tool with an output schema available, the description is largely complete: it identifies the target resource and the evaluation criterion. The main gap is the absence of usage guidance and clarification of how this check relates to sibling domain tools, but overall the tool is adequately specified for its simplicity.

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 fully, including their names, types, defaults, and descriptions. The description adds the 'on-demand TLS' context but does not enrich the meaning of the 'hostname' or 'kind' parameters beyond what the schema provides. Baseline 3 is appropriate due to 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 a specific action ('Check') on a specific resource ('hostname') with a specific condition ('allowed for on-demand TLS'). This distinguishes it from sibling tools like get/verify/create/update/delete site domain by focusing on the acceptance check rather than retrieval or mutation.

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 explicit guidance on when to use this tool versus alternatives such as acedatacloud_verify_site_domain or acedatacloud_get_site_domain. There are no prerequisites, exclusions, or contextual cues beyond the basic read-only check purpose implied by the wording.

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 transparency burden. It only states 'Requires confirmation', which is already evident from the confirm parameter's schema description. It doesn't disclose side effects (e.g., activation begins billing), reversibility, or auth requirements, which are critical for a confirmation action.

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

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

The description is a single concise sentence with no fluff, front-loading the core purpose. It earns every word.

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 an output schema exists and parameters are fully documented, the description is functionally sufficient. However, it lacks workflow context (e.g., that this is the final step after a setup_intent) and doesn't explain the activation consequences, which would be helpful for an agent navigating the many sibling 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 baseline is 3. The description adds minimal value beyond the schema; 'Requires confirmation' loosely ties to the confirm parameter but doesn't explain the roles of config_id and setup_intent_id beyond their schema definitions.

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 it confirms a completed setup and activates auto recharge, identifying the resource and action. It is distinct from sibling tools like acedatacloud_setup_auto_recharge or acedatacloud_disable_auto_recharge, though it doesn't 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?

The phrase 'Confirm completed setup' implies it should be used after a setup step, but it doesn't explicitly state the prerequisite workflow or mention alternatives like acedatacloud_confirm_x402_authorization. It provides implied context but no clear when-not 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 disclosure. It does state that the tool verifies a signature and can bind/unbind a wallet, which are meaningful behavioral traits. However, it omits important details such as the challenge being consumed, the security-sensitive nature of the operation, and the role of the confirm flag in triggering these effects.

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

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

The description is a single sentence with no filler words. It front-loads the primary action and remains easily scannable.

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, the tool description is incomplete for a security-sensitive mutation. It fails to explain the challenge flow, the meaning of 'bind/unbind' relative to the confirm parameter, or how this relates to create_wallet_challenge. An agent receiving only this description would not know the correct interaction sequence or the consequences of confirm=false.

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. The description adds only the phrase 'wallet signature' and the binding action, which does not materially enrich understanding of confirm, challenge_id, or signature beyond what the schema provides. Baseline 3 is appropriate.

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

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

The description uses a specific verb ('Verify') with a clear resource ('a wallet signature') and states the resulting action ('bind/unbind the wallet'). It is distinguishable from siblings like create_wallet_challenge, though the 'bind/unbind' phrasing is somewhat ambiguous about when each occurs.

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 alternatives. It does not mention that it should follow create_wallet_challenge, nor does it explain when binding versus unbinding applies. The only contextual clue is the name itself, but the description adds no workflow context.

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

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

The description mentions persisting authorization, which hints at a side effect, but it does not disclose any potential pitfalls, reversibility, or consequences of confirming. No annotations are provided, so the description carries the burden and it is too vague.

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

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

The description is a single, concise sentence with no redundancy, effectively summarizing the core action and purpose.

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

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

The description lacks critical context such as prerequisites, typical usage flow, expected return values, or error conditions. Given the complexity of authorization actions, it is insufficient for a user to understand when and how to invoke 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?

The input schema provides descriptions for all parameters, so the baseline is met. The tool description adds little beyond the schema, only vaguely relating delegation to the parameters. It does not clarify the purpose of 'confirm' or the interplay between setup_tx and delegation_tx.

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 (confirm on-chain delegation) and the outcome (persist continuous authorization), distinguishing it from related tools like setup or disable authorization. However, it could be more explicit about the x402 context.

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

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

The description implies this is a follow-up to setup, but it does not explicitly state when to use it (e.g., after a setup transaction) or when not to use it, leaving ambiguity about the workflow.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states that the tool verifies an on-chain transaction and marks the authorization revoked, but it does not explain prerequisites, whether the action is reversible, what happens if already revoked, or failure behavior. 'Mark the authorization revoked' is vague about the internal state change.

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

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

The description is a single compact sentence that front-loads the primary action and contains no filler. Every word contributes to the core purpose.

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

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

With an output schema present and only two simply documented parameters, the description is minimally adequate. However, the absence of annotations and the lack of workflow context—such as when confirmation is appropriate or what the state transition implies—leaves the tool's role somewhat underspecified relative to its side-effecting nature.

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

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

Schema description coverage is 100%, with both 'confirm' and 'revoked_tx' clearly documented in the input schema. The description adds no additional parameter-level meaning beyond implicitly linking revoked_tx to on-chain verification, 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 specific verbs ('Verify' and 'mark') and identifies the resource ('on-chain revocation', 'authorization revoked'), clearly distinguishing this from the sibling confirm_x402_authorization tool. The operation is unambiguous despite being terse.

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

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

The description implies this tool is used after an on-chain revocation has occurred, but it does not explicitly state when to use it relative to the revocation workflow or contrast it with alternatives like confirm_x402_authorization. Usage context is only inferred from the tool name and the word 'Verify'.

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 present, so the description carries the full burden for behavioral disclosure. It repeats the schema's confirm=true requirement but does not reveal operational implications such as possible downtime, asynchronous execution, reversibility of stop, or state prerequisites. This is a safety-relevant state-changing operation needing more 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 that states the operation clearly and tacks on the critical confirm requirement. Every word earns its place; no filler or redundancy besides the schema-repeated confirm note.

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 fully documented input schema and an output schema available, the description is adequate for basic invocation. However, it lacks operational guidance about checking current deployment state first, possible side effects, or when to use related lifecycle tools, leaving the overall operational 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 the schema already explains application_id, action, and confirm. The description adds no parameter-level meaning beyond repeating the confirm requirement, which is already documented.

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: 'Start, stop, or restart a deployment.' It clearly identifies the operation as a power-state control action and distinguishes it from lifecycle siblings like deploy_application and teardown_deployment.

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 it (when changing a deployment's running state) but does not explicitly contrast with deploy_application, teardown_deployment, or get_deployment_status. The confirm=true requirement is the only stated constraint; no when-not-to-use guidance is given.

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 fails to disclose important behavior such as the confirm parameter requirement, potential side effects, or permission needs. It only states the action without elaborating.

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 is direct and to the point, with no redundant information.

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

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

The description is overly terse for a tool with 6 optional parameters and no annotations. It does not explain the workflow, the need for confirm, or how to choose between policy and service, leaving the agent without sufficient 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 covers all 6 parameters with descriptions, so the baseline is 3. The description itself adds no additional parameter context beyond what the schema provides.

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

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

The description clearly states the action (request access) and the target (restricted service or policy), which differentiates it from sibling tools like list/get/cancel access requests.

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

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

No guidance on when to use this tool versus the related access request tools (list, get, cancel) or other create tools. The description does not mention any prerequisites or context.

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

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

With no annotations, the description must disclose all behavioral traits. It reveals the superuser requirement, locale handling (Chinese source-of-truth, auto-translation), and confirm requirement. Missing details about the output or side effects, but the core mutation 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?

Three sentences, no fluff. The first sentence front-loads purpose and auth requirement, followed by key behavioral details. Every sentence adds value.

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 auth, locale, and confirm constraints, but omits the published parameter behavior (draft vs immediate), rank/tags, and output details. Given 6 parameters and an output schema, the description is incomplete but not critically lacking.

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 baseline is 3. The description adds useful context about the content parameter (locale behavior) and reinforces confirm, but does not explain rank, tags, or published parameters beyond what the schema already provides.

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

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

The description clearly states the action: 'Publish a platform announcement' (specific verb+resource) and includes a critical access restriction (SUPERUSER token only). It distinguishes from sibling tools like list_announcements and other create 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 indicates the tool is for superusers and requires confirm=true, providing clear context for when to use it. However, it does not explicitly state when not to use it or mention alternatives, but since it is the only announcement creation tool, this is adequate.

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 mentions that confirm=true is required, which is a useful behavioral constraint. However, it does not disclose side effects, permissions, or error conditions, and there are no annotations to supplement this.

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, using only two short sentences. There is no unnecessary information 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?

The description lacks broader context, such as what an application subscription is, how it relates to other tools, or what the outcome looks like. The schema covers parameter details, but the overall purpose and workflow are not fully explained.

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 (scope, confirm, service_id, application_type). The description adds no new meaning beyond what the schema 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 clearly states it creates an application subscription, which is a specific action. It doesn't differentiate from many other create tools, but the verb-resource pairing is clear.

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

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

No guidance is provided on when to use this tool versus alternatives. It doesn't mention prerequisites, typical scenarios, or alternatives like updating an existing application.

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?

Without annotations, the description must carry behavioral transparency. It mentions 'Requires confirmation' as a notable behavior, but does not detail other effects, side conditions, or outcomes, leaving gaps.

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

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

The description is a single, front-loaded sentence that conveys the core purpose and a critical requirement. It is extremely concise and well-structured.

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

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

Given the tool's complexity (create with confirmation) and lack of output schema, the description is too sparse. It does not explain the confirmation flow, implications of 'paused', or what the user should expect after execution, making it incomplete for full contextual understanding.

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

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

The input schema already provides detailed descriptions for all four parameters, achieving 100% coverage. The tool description adds no additional parameter semantics, 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 clearly states the action (create a paused auto-recharge configuration) and includes the key requirement of confirmation. It is specific and unambiguous.

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

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

The description does not provide any guidance on when to use this tool versus other auto-recharge tools (e.g., setup, confirm, update). It lacks explicit alternatives or contextual scenarios.

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

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

With no annotations, the description bears full responsibility for behavioral disclosure. It only restates the confirm requirement, which is already documented in the input schema. It does not mention side effects, permissions, idempotency, or what occurs on success/failure, leaving significant gaps.

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

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

The description is a single, front-loaded sentence that immediately states the purpose and key constraint. It is appropriately concise with no filler, though it sacrifices explanatory detail for brevity.

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

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

Given the tool has 9 parameters and a full output schema, the description is minimally adequate. It explains the core action and confirmation gate, but the ambiguity of 'owner-issued grant' and absence of use-case guidance reduce completeness. The rich schema partially compensates, but the description could still offer more context.

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

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

The schema provides 100% parameter descriptions, so the baseline is 3. The description adds no additional meaning beyond the schema, merely echoing the confirm requirement. It does not clarify the distinctions between credential types or how to set fields like host or metadata.

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 this tool creates an API credential or owner-issued grant, identifying the action and resource. While it distinguishes from sibling credential tools (list/update/delete), the phrase 'owner-issued grant' is somewhat vague and could be clearer, so it doesn't fully earn a 5.

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

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

The description provides no explicit guidance on when to use this tool vs. alternatives, nor does it mention exclusions or prerequisites beyond the confirm requirement. The creation intent is implied by the name, but there is no contrast with other credential 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?

No annotations are present, so the description carries the full burden of behavioral disclosure. It only mentions mutual exclusivity of modes and does not disclose side effects, prerequisites, confirm semantics, reversibility, or financial impact of creating a recharge order. For a mutating financial tool, this is insufficient.

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

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

The description is concise, containing two short sentences that convey the core purpose and a key constraint without wasted words. It is front-loaded 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?

Despite having an output schema, the description is under-specified for a create operation with 8 optional parameters, no required fields, and no annotations. It does not explain how to construct a valid single vs. batch request, the role of confirm, or the order lifecycle, leaving important invocation decisions unresolved.

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 individually documented. The description adds the high-level statement that the two modes are mutually exclusive, which helps interpret single vs. batch parameter groups, but it does not provide additional detail beyond what parameter names and schema descriptions already convey.

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: 'Create a single or batch recharge order.' It also distinguishes between two modes and is clear relative to siblings like list_orders, get_order, and pay_order, which serve different order lifecycle purposes.

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

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

The description provides no guidance on when to use this tool versus alternatives such as create_auto_recharge, pay_order, or refresh_order. It does note that the two modes are mutually exclusive, but this only distinguishes single from batch, not when this tool should be selected over 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?

The description discloses key behavioral traits: token never expires, the full token is returned only on creation, and must be stored immediately. No annotations are provided, so the description fully carries the burden of 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?

Two well-structured sentences. The first states purpose, the second gives the crucial action and warning. No wasted words.

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

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

Given a single parameter, an output schema exists, and no annotations, the description covers all necessary behavioral details. It explains creation behavior, permanence, and the one-time retrieval of the token, making it complete for this simple 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 schema already covers the parameter with 100% description coverage. The description adds value by stating that confirm=true is required for creation, reinforcing a critical usage condition beyond the schema.

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

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

The description clearly states 'Create a new platform token' with the important detail 'never expires'. This precisely identifies the action and resource, distinguishing it from sibling tools like list_platform_tokens or delete_platform_token.

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

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

The description explicitly requires confirm=true, providing a clear precondition. It does not explicitly say when to use vs. alternatives, but the purpose is unambiguous given sibling names.

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?

Tool has no description.

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?

Tool has no description.

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?

Tool has no description.

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

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

Tool has no description.

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

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

Tool has no description.

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?

Tool has no description.

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

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

Tool has no description.

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?

Tool has no description.

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?

Tool has no description.

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

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

Tool has no description.

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

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

Tool has no description.

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?

Tool has no description.

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

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

Tool has no description.

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?

Tool has no description.

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?

Tool has no description.

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

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

Tool has no description.

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

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

Tool has no description.

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?

Tool has no description.

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

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

No annotations are provided, so the description bears the full burden. It only states a high-level action without disclosing behavioral traits like the confirmation requirement, side effects, or failure conditions. This is a significant gap for a mutation tool.

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

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

The description is a single, concise sentence with zero fluff, which is efficient. However, it is so brief that it omits critical usage and behavioral information, making it under-specified rather than purely concise. It earns a 4 for brevity but loses a point for missing substance.

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

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

For a tool with 6 parameters and an output schema, this description is insufficient. It fails to mention the confirm requirement, the kind parameter, or any operational context. While the output schema may clarify return values, the description lacks necessary context for proper 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 descriptions cover 100% of parameters, so the baseline is 3. The description adds no additional meaning to parameters, but the schema already explains each field (e.g., 'Must be true to bind domain' for confirm). 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 'Bind a custom domain to a site' is specific and clearly states the action (bind) and resource (custom domain to a site). It naturally distinguishes from sibling tools like verify/check/update/delete, which all relate to domains. The verb+resource structure is precise.

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 usage guidance is provided. The description does not mention when to use this tool vs alternatives, prerequisites (e.g., domain verification), or the requirement that the 'confirm' parameter must be true. It gives no context for selecting this tool among related domain 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?

Tool has no description.

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?

Tool has no description.

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?

Tool has no description.

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

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

Tool has no description.

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

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

Tool has no description.

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?

Tool has no description.

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

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

No mention of side effects, state changes, expiration, or permissions. Without annotations, the description leaves these aspects ambiguous.

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

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

One sentence that is direct and to the point, no unnecessary words.

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

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

The description is minimal and does not explain the challenge's lifecycle or how it fits into the wallet binding/unbinding flow. Lacks context on the confirm parameter's role despite schema description.

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

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

The schema already provides descriptions for all parameters, so the tool description adds no additional semantic meaning. Baseline score of 3 since schema coverage is high.

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

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

The description clearly states the action (create) and the object (wallet-signature challenge). It distinguishes from the confirm counterpart, though it does not specify the purpose of the challenge.

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

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

No guidance on when to use this tool versus alternatives like confirm_wallet_challenge. It lacks context for preconditions or next steps.

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 discloses that confirmation is required, which is useful and implies a safety check. However, it does not mention the permanent/irreversible nature of deletion, potential impacts, or authorization needs.

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 succinct sentences, front-loaded with the action and resource. No filler or repetition of what is already in the schema.

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 delete operation with an output schema, this is adequate but not fully complete. It lacks context about when to delete versus disable, and does not detail irreversibility. The confirmation note is helpful, but the tool's environment (many sibling auto-recharge tools) warrants more usage 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%, and both parameters ('config_id' and 'confirm') are already documented in the schema. The description adds no additional parameter semantics beyond reiterating that confirmation is required.

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

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

The description clearly states the action ('Delete') and the resource ('auto-recharge configuration'), with a specific scope. It distinguishes from sibling tools like 'disable_auto_recharge' and 'update_auto_recharge' by using the exact verb 'delete'.

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 instead of alternatives such as 'disable_auto_recharge' or whether any prerequisites or consequences apply. The 'requires confirmation' note is behavioral, not 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 provided, the description carries the burden of disclosing safety-critical behavior. It clearly states the operation is irreversible and requires explicit confirmation, which helps an agent avoid destructive mistakes. It does not detail authorization requirements or downstream effects, but covers the most critical risk.

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

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

The description is only two short sentences, front-loading the core purpose and immediately stating the key safety/confirmation requirement. Every word earns its place with no redundancy.

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

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

For a simple two-parameter destructive operation with a rich input schema and output schema, the description provides essential context: what it does, that it is irreversible, and that confirmation is mandatory. It is slightly thin on when to choose delete over rotate or update, but that is reasonably inferable from sibling tool names.

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 already defines credential_id as 'Credential UUID' and confirm as 'Must be true to revoke the credential.' The description's 'requires confirm=true' adds little beyond what the schema states, 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 'Revoke an API credential' uses a specific verb and resource, clearly identifying the operation. It naturally distinguishes from sibling tools like create_credential, update_credential, rotate_credential, and get_credential.

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 delete/revoke use case and mentions the important requirement that confirm=true must be provided. However, it does not explicitly state when to prefer revoking over rotating or updating a credential, nor does it name alternatives.

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

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

With no annotations provided, the description carries the full burden of disclosure. It clearly states the irreversible nature and the requirement for confirm=true, which are critical. However, it omits other behavioral details such as idempotency, permissions needed, or behavior when the token does not exist.

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: a single sentence that conveys the core purpose and key behavioral trait (irreversibility) and a critical usage requirement. No unnecessary words.

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

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

Given the tool's simplicity (delete a token by ID with confirmation) and that an output schema exists (handling return values), the description covers the essential aspects. It could mention success/error scenarios, but for a basic deletion tool it is adequate.

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 parameters already documented. The description adds value by emphasizing the constraint that 'confirm=true' is required, reinforcing the boolean parameter's role and the irreversible consequence.

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 ('Delete (revoke)') and the resource ('a platform token'), making the tool's purpose unambiguous. It distinguishes itself well from siblings like acedatacloud_create_platform_token and acedatacloud_list_platform_tokens.

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

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

The description provides minimal guidance: it notes that the action is irreversible and requires 'confirm=true'. However, it does not specify when to use this tool versus alternatives, nor does it mention any prerequisites (e.g., needing the token ID from list_platform_tokens).

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?

Tool has no description.

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?

Tool has no description.

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?

Tool has no description.

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

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

Tool has no description.

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

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

Tool has no description.

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?

Tool has no description.

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

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

Tool has no description.

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?

Tool has no description.

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?

Tool has no description.

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

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

Tool has no description.

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

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

Tool has no description.

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?

Tool has no description.

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

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

Tool has no description.

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?

Tool has no description.

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?

Tool has no description.

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

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

Tool has no description.

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

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

Tool has no description.

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?

Tool has no description.

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

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

With no annotations, the description carries full responsibility for disclosing side effects. It does not mention that unbinding is destructive, potentially irreversible, or that it requires confirmation via the 'confirm' parameter. The schema hints at confirmation but the description itself omits behavioral implications.

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

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

The description is a single, concise sentence with no unnecessary words. It is direct and to the point, well-structured for a simple tool.

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

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

While the tool is simple, the description lacks details about outcomes, reversibility, or error conditions. It is minimal but not entirely inadequate given the schema's mention of confirmation. However, a bit more context about the unbinding process could improve completeness.

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

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

The schema already provides descriptions for both parameters (confirm: 'Must be true to unbind.', domain_id: 'Domain UUID.'). The tool description adds no extra meaning about the parameters, so it does not improve upon the schema's coverage, which is already high. 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 'Unbind a custom domain.' clearly states the action (unbind) and the resource (custom domain), distinguishing it from sibling tools like verify, check, create, and update site domain. It is specific and unambiguous.

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

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

The description provides no guidance on when to use this tool versus alternatives, no prerequisites, and no context about the confirm parameter. It lacks any direction on scenarios where unbinding is appropriate or required.

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?

Tool has no description.

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?

Tool has no description.

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?

Tool has no description.

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

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

Tool has no description.

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

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

Tool has no description.

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?

Tool has no description.

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

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

The description discloses that confirm=true is required, which is a key safety gate. However, with no annotations provided, it does not describe other behavioral aspects like whether it is destructive, idempotent, or what side effects occur beyond starting a deployment.

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

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

The description is a single, concise sentence that front-loads the action and then states the confirmation requirement. It contains no fluff, though it could benefit from slightly more context without becoming verbose.

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 deployment operation with optional config and helm overrides, the description is severely lacking. It does not mention prerequisites, the meaning of 'redeploy', or any side effects, and without annotations, the agent has insufficient context beyond the schema.

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

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

The input schema already provides full descriptions for all four parameters (100% coverage). The description only reinforces the confirm requirement, which is also in the schema, and adds no additional meaning for config or helm_overrides parameters.

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

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

The description clearly states the tool starts or redeploys an application workload, which is a specific verb and resource. However, it does not distinguish this from sibling tools like save_deployment_config or control_deployment, though the name implies deployment.

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 alternatives such as save_deployment_config or get_deployment_status. It only mentions the confirm requirement, lacking any contextual or exclusionary information.

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 does important behavioral work: it discloses that the operation is state-changing, preserves the saved card, and requires confirmation. It does not detail permission requirements or subsequent billing effects, but the key non-obvious behavior is communicated.

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, each carrying meaning, no filler, and the most important detail comes first. The description is intentionally concise without losing value.

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 two simple parameters, fully described schema, output schema, and clear sibling context, the description is sufficiently complete. It could explicitly address, but the overall package is adequate.

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 is 100% coverage and both parameters already have helpful descriptions. The description adds the requirement that confirmation be true but does not add further meaning beyondthe schema.

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

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

The description uses a specific verb-object pair ('Disable auto recharge') and distinguishes the tool from its sibling delete_auto_recharge by stating that it does so 'while retaining the saved card' and that confirmation is required.

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 'while retaining the saved card' provides clear context for when this tool is appropriate versus a deletion tool. It does not explicitly name alternatives or exclusions, but the context is enough to guide selection.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions restoring source content but fails to disclose that confirm must be true, whether the operation is destructive, or any other side effects. This is thin for a mutation tool.

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

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

The description is a single front-loaded sentence with no filler. Every word contributes to conveying the core 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?

The output schema exists and schema descriptions are complete, so the description need not explain return values. However, without annotations, the lack of confirmation requirements and alternative guidance leaves the description only minimally complete 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%, so the baseline is 3 even though the description adds no parameter-level detail. The schema fully documents all five parameters; the description's phrase 'restore source content' loosely hints at the content parameter but without specifics.

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 operation: 'Remove an auto-translation reference and restore source content.' It uses a specific verb+resource and naturally contrasts with the sibling enable_translation 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 intended use is implied by the tool name and description, but there is no explicit guidance on when to use this tool versus alternatives like acedatacloud_enable_translation. No when-not-to-use or alternative recommendations are provided.

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

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

With no annotations provided, the description carries the behavioral disclosure burden. It clearly states the tool disables authorization without revoking it on-chain, which is a key distinction. However, it doesn't explain whether the disablement is reversible, what the impact is on active operations, or what 'current' means in a multi-authorization context. The description adds value but leaves important behavioral questions unanswered.

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 concise sentence that conveys the action and a key qualifier. It is front-loaded and efficient, with no wasted words. It could arguably be more detailed, but for what it communicates, it is succinct.

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

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

Given the tool's complexity (single boolean parameter, no annotations, no output schema), the description is sparse. It doesn't explain what

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 the confirm parameter at 100% with a clear description (

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

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

The description uses a clear verb (

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

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

The description provides no guidance on when to use this tool versus alternatives. It implies a contrast with revocation but doesn't explicitly name sibling tools like acedatacloud_confirm_x402_revocation or acedatacloud_setup_x402_authorization. There's no mention of prerequisites, use cases, or scenarios where this should be preferred.

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 must disclose behavioral traits. It hints at a write operation ('replace a field') but does not mention side effects like overwriting existing content, reversibility, or the confirmation requirement. It fails to convey the safety and potential destructiveness of the action, leaving the agent uninformed about the impact.

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

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

The description is a single, concise sentence that effectively communicates the core action. There is no repetition of information already in the schema, and every word is meaningful. It is optimally sized and 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?

This is a mutation tool (replaces a field) with no annotations, yet the description is extremely sparse. It lacks critical context about the confirm parameter, potential data loss, or when to use it. Although an output schema exists, that only covers return values, not operational context. The description is incomplete for safe and correct usage.

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

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

Schema description coverage is 100%, so each parameter is already well-documented. The description adds only generic context ('store source text' relates to content, 'replace a field' relates to field) without detailing the purpose of model or object_id. Per rubric, baseline 3 is appropriate when schema covers all parameters and the description adds minimal value.

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

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

The description clearly states the tool's function: 'Store source text and replace a field with an auto-translation reference.' It uses a specific verb ('store', 'replace') and identifies the resource (a field). This distinguishes it from sibling tools like disable_translation or get_translation_capabilities, even without explicitly naming alternatives.

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

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

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, such as the need to set confirm to true, nor does it contrast with disable_translation or other translation-related tools. The only usage hint comes from the tool name and schema, not the description.

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

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

No annotations are provided, so the description carries full responsibility for behavioral transparency. It only says 're-enable a valid current authorization' and 'must be true to re-enable,' but does not explain side effects, potential errors, or what happens if confirm is false. This is insufficient for a 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?

The description is a single concise sentence with no redundancy. It efficiently conveys the core purpose without 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 description lacks important context: it does not mention how the 'current authorization' is identified, what prerequisites exist, or what the outcome is. While an output schema exists, the description still fails to explain the action's context, making it incomplete for an agent to decide when and how to invoke it.

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 only parameter 'confirm' is fully described in the schema (100% coverage), so baseline is 3. The tool description does not add meaning beyond the schema, but the schema already clarifies that 'true' is required to re-enable.

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 (re-enable) and object (authorization), and the tool name indicates x402 authorization. It distinguishes from sibling tools like disable and setup, though it could be more specific about what constitutes a 'valid current authorization'.

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 it is for re-enabling an authorization previously disabled, but does not explicitly state when to use it versus alternatives. The confirm parameter is briefly explained in the schema, but the main description lacks guidance on prerequisites or 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 must carry the full burden of behavioral disclosure. It mentions the output is 'bounded CSV text' and scoped to 'caller orders', but does not explain what happens when the bound is exceeded (e.g., truncation, error), whether authentication is required, or any side effects. The behavioral picture is incomplete.

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

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

The description is a single, concise sentence with no wasted words. It front-loads the action ('Export') and includes key qualifiers ('caller orders', 'bounded CSV text') that add value without redundancy.

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

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

Given the tool's simplicity, the existence of an output schema, and fully described parameters, the one-line description provides the core purpose. However, it lacks usage context (e.g., when to choose this over list_orders) and details about bounded behavior, leaving some completeness gaps. It is minimally viable but not comprehensive.

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

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

The input schema has 100% description coverage for all five parameters, so the schema already handles parameter meaning. The tool description adds no additional parameter semantics, but the baseline is 3 when schema coverage is high.

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

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

The description uses a specific verb ('Export'), identifies the resource ('caller orders'), and specifies the output format ('bounded CSV text'). This clearly distinguishes it from sibling tools like list_orders (which likely returns structured data) and export_usage (which exports a different resource).

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

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

The word 'Export' implies a file-download use case, and 'bounded CSV text' hints at size-limited exports. However, the description does not explicitly state when to use this tool over alternatives like list_orders, nor does it mention any exclusions or prerequisites. It relies on implied usage rather than explicit guidance.

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

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

No annotations are provided, so the description must carry the burden. It implies a read-only export operation and mentions a size limit, but it does not disclose what happens when the limit is exceeded (e.g., truncation vs. error), whether authentication is required, or any side effects. This is a moderate gap given zero annotation support.

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

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

The description is two sentences, front-loaded with the core action, and includes a practical hint. Every word earns its place; no fluff. This is an exemplar of conciseness.

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

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

Given the tool has 8 parameters, an output schema, and no annotations, the description is somewhat sparse. It covers the main purpose and a key usage hint, but does not address when to prefer this over get_usage/list_usage, nor does it mention any prerequisites or side effects. The output schema handles return format, but the description could be richer for an export operation.

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

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

The schema describes all 8 parameters with 100% coverage, so the baseline is 3. The description adds minimal extra meaning beyond the schema, only implying that filters can narrow results (as in 'narrow filters'). It does not enrich parameter understanding or clarify format/units beyond what the schema already provides.

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

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

The description clearly states the tool exports API usage data as a CSV file with a byte limit ('Export bounded API usage CSV'). This is specific and distinguishes it from sibling tools like list_usage or get_usage, which likely return structured data rather than a file export.

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 a concrete usage instruction: 'narrow filters when the response exceeds the limit.' This tells the agent how to handle large results. However, it does not explicitly name alternative tools or specify when not to use this export, so it falls short of the highest standard.

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 does communicate an important constraint: only 'caller-visible' access requests can be retrieved. However, it does not mention error behavior, authorization requirements, or what happens when a request is not found or not visible.

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

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

The description is a single sentence with no filler or repeated information. It is appropriately concise for a simple get-by-id tool.

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

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

For a one-parameter getter with an output schema, the description is nearly complete. The specific caller-visible scoping is a useful context addition. It loses a point only because it does not explain the relationship to listing access requests or failure behavior.

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%: request_id is already documented as 'Access request UUID' and is required. The tool description adds no additional parameter semantics beyond what the schema already provides.

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

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

The description 'Get one caller-visible access request' uses a specific verb with a specific resource and singular scope. It clearly distinguishes this tool from sibling tools like list_access_requests, create_access_request, and cancel_access_request by focusing on a single request 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?

The usage context is implied rather than explicit: the tool is for fetching a single access request using the request_id. There is no explicit guidance on when not to use it or that list_access_requests should be used to discover request IDs first.

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

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

With no annotations, the description adds critical behavioral context: 'No token required' indicating no authentication needed. It also describes the return fields (definition, method, stage, cost). Missing details like rate limits or error handling, but sufficient for basic 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?

Two concise sentences with no unnecessary words. Front-loaded with key action and outputs. Perfectly sized for the tool's simplicity.

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 lookup tool with an output schema, the description covers purpose, parameter, basic behavior, and authentication. Lacks details on error conditions or rate limits, but adequate for effective use.

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

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

Schema coverage is 100% with one parameter 'path' and a clear example. The description adds meaning by explaining what the tool returns (definition, method, stage, cost), complementing the schema's parameter description.

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

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

The description clearly states the verb 'Get', the resource 'one API endpoint's OpenAPI spec', and includes the specific outputs (definition, method, stage, billing cost). It distinguishes from sibling tool 'acedatacloud_list_apis' which lists APIs, not a single spec.

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 does not provide explicit when or when-not to use this tool versus alternatives. It implies use for retrieving a specific API endpoint spec by path, but no comparative guidance.

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

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

No annotations are provided, so the description carries full burden for behavioral disclosure. 'Get' does convey a read-only, non-mutating operation, but the description stops there—no mention of what happens with an invalid/nonexistent ID, response envelope, or rate-limit considerations. For a simple read with an output schema available, this is 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?

A single, efficient sentence of 9 words, front-loaded with the verb. Zero fluff—every word adds meaning. For a simple single-parameter getter, this is appropriately sized with no waste.

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

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

For a low-complexity tool (1 param, 100% schema coverage, output schema present), the description covers the essential purpose adequately. The presence of an output schema means return values don't need to be re-described in prose, and no nested objects or enums add complexity. Scant but complete for the scope.

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

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

Schema coverage is 100% with one well-described param (Application UUID). The description adds semantic value by clarifying the response includes service/pricing details, helping the model understand what kind of application context is returned. Since the schema already documents the parameter fully, the baseline is 3-4; the extra context around the results earns a 4.

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?

"Get one application and its service/pricing details" is a specific verb+resource combination. The word "one" meaningfully differentiates it from list_applications, and the mention of 'service/pricing details' distinguishes the breadth of the returned data. It would be a 5 if it more explicitly carved out exactly what 'application' encapsulates versus the related get_site/get_service tools among the 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 wording 'one application' implies this is for a single entity as opposed to list_applications, giving implicit usage context. However, it never explicitly states when not to use it, names alternatives like list_applications for enumeration, or notes any prerequisites (e.g., needing an existing UUID). Acceptable but minimal 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 burden of conveying safety profile. The verb 'Get' correctly implies a read-only operation, and the mention of 'authoritative quote' gives some indication of what the response contains. However, it does not disclose any potential side effects, whether the quote is freshly generated or cached, or any permission/rate-limit implications.

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, clear sentence that directly states the tool's purpose and returned content. No filler or redundant wording is present.

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 one-parameter retrieval tool with an output schema present. The description sufficiently conveys the resource type and the fact that an authoritative quote is part of the result. Some additional detail about the distinction from other auto-recharge tools could be useful, but overall the description is adequate for this complexity level.

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

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

The schema has a single parameter (config_id) with 100% description coverage ('Auto-recharge config UUID'). The tool description adds no meaning beyond the schema, so the baseline score of 3 is appropriate. There are no undocumented parameters to compensate for.

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

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

The description uses a specific verb ('Get') with a clear resource ('auto-recharge configuration') and a meaningful scope qualifier ('one... and its authoritative quote'). It distinguishes itself from sibling tools like list_auto_recharges (which retrieves multiple) and quote_auto_recharge (which likely only provides pricing) by clarifying it retrieves both the configuration and its authoritative quote.

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 choose this tool over a sibling such as list_auto_recharges, quote_auto_recharge, or update_auto_recharge. The description implies it is a read operation but gives no explicit context, alternative names, or exclusions.

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

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

No annotations provided, so description carries burden. It discloses read-only nature (summarizing balance), return format, and unit (Credits not USD). However, it does not mention authentication needs, rate limits, or potential latency.

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, front-loaded with purpose, followed by return format details. No unnecessary words, but could be slightly more structured (e.g., bullet points for fields).

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

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

For a simple read-only tool with one optional parameter and output schema existing, the description covers purpose, format, and unit. It is fairly complete, though omits aggregation behavior (e.g., whether totals are across all subscriptions).

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% (1 parameter fully described). The description does not add extra meaning beyond the schema's 'Optional service UUID to filter by.' 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 clearly states the tool summarizes remaining credit balance across subscriptions and provides details on the return format (fields like service_id, remaining_amount). It distinguishes from siblings like 'usage_summary' by focusing on credits, but could be more explicit about the difference.

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

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

No guidance on when to use this tool vs alternatives like acedatacloud_list_usage or acedatacloud_usage_summary. There is no mention of scenarios where it is appropriate or not.

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 for behavioral disclosure. It clearly states that token/password values are masked, which is a key behavioral trait. However, it does not disclose other potential behaviors such as error handling, typical return format details (though output schema exists), or any side effects (e.g., audit logging). The masking note adds value beyond the schema, but more could be said.

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: a single sentence with no fluff. It front-loads the essential verb and resource, and adds the critical masking caveat. 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?

Given the tool's moderate complexity (one parameter, output schema present), the description is adequate but not complete. It covers the core purpose and key security nuance, but lacks any mention of related tools, payment context, or typical use cases, which would help an agent make informed decisions. The output schema addresses return structure, so that omission is not penalized heavily.

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% and the only parameter 'credential_id' has a description ('Credential UUID') in the schema. The description adds minimal extra meaning beyond confirming the resource type, but since the schema already fully documents the parameter, a 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 clearly states the action (get) and the resource (credential) with a specific modifier (one credential) and emphasizes the key behavior of masking sensitive values, distinguishing it from list and other credential management 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?

No explicit guidance on when to use this tool versus alternatives like list_credentials or update_credential, nor any mention of prerequisites or scenarios where masking matters. The context is inferred solely from the name and sibling list, but no explicit usage direction is provided.

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