ZenVault

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

With no annotations, the description carries the burden of behavioral disclosure. It reveals the return content and receipt fields, but omits important traits such as network/fetch semantics, error handling, authentication needs, rate limits, or side effects. It is not misleading, but 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, front-loaded sentence with no redundant words. It efficiently conveys the core functionality and output.

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, the description covers the basic function and output sketch, but without an output schema or behavioral details (e.g., what the signed receipt looks like, when content is omitted), an agent may not be fully equipped to invoke it correctly in all scenarios. 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 describes 'url' but not 'include_content'. The description mentions returning 'content' and 'content hash', which indirectly relates to content handling, but does not explicitly explain the meaning or effect of include_content. It adds some context but does not fully compensate for missing parameter details.

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

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

The description clearly states the action ('Fetch a URL') and the unique output ('a signed receipt binding url, status, content hash and time'), making it distinct from sibling tools. The verb+resource pairing 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 implies use for obtaining an attested (signed) fetch, but it does not explicitly state when to use this versus alternatives or provide exclusions. Sibling tools like notarize or publish_page could overlap conceptually, but no differentiation is offered.

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, and the description discloses no behavioral details such as side effects, idempotency, reversibility, or required permissions. The verb 'cancel' implies a mutation, but the agent gets no warning about consequences.

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

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

The description is a single front-loaded sentence with no redundant words. It is concise for a simple tool, though slightly under-specified for behavior.

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

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

With no annotations and no output schema, the description should explain effects, errors, and idempotency, but it only states the action. The single parameter is undocumented, making the description insufficient for safe invocation.

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

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

Schema coverage for the id parameter is 0%, and the description provides no details about what the id refers to, its expected format, or its role. The description fails to compensate for the schema's empty 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 uses a specific verb ('cancel') and identifies the resource as the target, distinguishing it from sibling tools like get_resource or extend_resource. However, it doesn't clarify what qualifies as 'early' or what specific resource type is affected.

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, and there are no prerequisites or exclusions. The only implied context is that cancellation should happen before some completion point.

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 behavior. It states the primary check operation but does not mention potential outcomes beyond 'approved or denied' (e.g., pending state), error handling for invalid IDs, or any side effects. The simple verb 'check' implies non-mutating behavior, but details are minimal.

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

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

The description is a single, concise sentence that front-loads the essential purpose. There is no redundant information or filler, and every word contributes to understanding the tool's function.

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

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

For a simple one-parameter tool with no output schema, the description covers the core behavior but omits important nuances such as the possible 'pending' state, what the return value looks like, or any prerequisites (e.g., having submitted a request first). While not severely incomplete, it could benefit from clarifying the status envelope.

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

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

Schema description coverage is 100% with the 'id' parameter described as 'approval id', so the schema already provides full parameter meaning. The description adds only the context that the id refers to 'your request', which is marginal additional value. Baseline 3 is appropriate given full schema coverage.

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

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

The description clearly states the tool's function with a specific verb ('check') and resource ('approval'), and the phrase 'whether a human approved or denied your request' immediately conveys the outcome being queried. This distinguishes it from sibling tools like request_approval, which presumably creates the request, and watch_status, which may monitor 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 description implies usage as a follow-up to a prior approval request ('your request'), but it does not explicitly state when to use this tool versus alternatives. There is no mention of 'use after request_approval' or 'use to poll status', leaving the when-to-use guidance implicit rather than explicit.

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

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

With no annotations provided, the description must carry the full burden of behavioral disclosure. It only states the immediate effect (prevents firing) but does not mention edge cases such as what happens if the switch is already checked in, whether the operation is idempotent, error conditions, or any required permissions. This is a thin description for a mutating 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 that immediately conveys the action and purpose. There is no fluff or redundant information, making it easy to scan and understand.

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

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

For a simple one-parameter tool, the description is adequate at conveying the core action. However, it lacks contextual details like expected prerequisites (a previously created dead-man switch) and potential side effects, which would be helpful given there is no output schema or annotations to fill in those gaps.

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

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

The input schema provides 100% coverage for the only parameter 'id' with the description 'dead-man switch id', so the schema already explains the parameter. The tool description adds no additional semantic meaning, so the baseline score 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 a specific action ('Check in') and resource ('dead-man switch'), and clarifies the purpose ('so it does not fire'). This distinguishes it from sibling tools like create_deadman, which creates a switch, and cancel_resource, which might cancel something else.

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: it should be used to prevent a dead-man switch from firing. However, it does not explicitly state when to use this tool versus alternatives, nor does it mention any exclusions or prerequisites (e.g., the switch must already exist).

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the core guarantee ('exactly once') but does not disclose potential side effects, error behavior, or whether the operation is a write or read. The term 'firewall' adds conceptual color but not concrete behavioral detail.

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

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

The description is a single, concise sentence that front-loads the core concept 'Idempotency firewall'. Every word earns its place, and there is no fluff or repetition of schema details.

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

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

Given no annotations, no output schema, and only two parameters, the description is too minimal to be contextually complete. It does not explain what the tool returns, how it handles duplicate claims, or when to use it over siblings like create_idempotency. The description suffices for basic orientation but leaves major gaps.

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

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

Schema description coverage is 50% (only 'id' has a description). The description adds some meaning by clarifying that 'operation_id' is the operation identifier being claimed, which helps interpret the empty schema description. However, it does not elaborate on parameter formats or constraints, so the compensation is partial.

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

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

The description clearly states the tool's function: to claim an operation id exactly once, acting as an idempotency firewall. It uses a specific verb ('claim') and resource ('operation id'), and distinguishes it from related siblings like create_idempotency by emphasizing the 'exactly once across runs' behavior.

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

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

The description provides clear contextual guidance: this tool is used to ensure idempotency when claiming an operation id across runs. It implies the scenario of preventing duplicate processing, though it does not explicitly name alternatives or exclusionary cases. The 'across runs' phrase sets clear usage context.

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

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

With no annotations, the description carries the full burden of disclosing behavioral traits. However, it only names the sources and does not clarify side effects such as whether messages are removed or marked as collected, whether authorization is required, or what the return value looks like. The 'all' parameter hints at a collected state, but the description itself does not explain 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 a single, front-loaded sentence that avoids redundancy. Every word contributes to understanding the tool's function without unnecessary elaboration.

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

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

Given the tool has no output schema and no annotations, the description is incomplete. It does not explain what happens when messages are collected (e.g., whether they are deleted, returned, or marked as read) or how the 'all' parameter alters behavior. Users are left without critical information about the tool's outcome.

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 both parameters (id and all), but the description adds meaningful context by clarifying that 'id' refers to one of the listed source types (inbox, bin, front door, form), which the schema's generic 'resource id' does not convey. This helps map parameters to real-world usage.

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

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

The description uses a specific verb ('collect') and resource ('buffered messages'), and lists the source types (inbox, bin, front door, form), which clearly differentiates it from sibling tools like queue_lease or attested_fetch. It is unambiguous about what the tool does.

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

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

The description implies when to use the tool (when you have an inbox, bin, front door, or form with buffered messages) but provides no explicit guidance about when not to use it or which alternative tools might be preferred. It does not mention exclusions or prerequisites.

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 only discloses atomicity but doesn't explain behavior for non-existent counters, overflow, side effects, or return values. This is minimal 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 that efficiently communicates the core action. Every word earns its place, and there is no wasted text.

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 tool with two parameters and no output schema, the description is incomplete. It doesn't clarify what the tool returns, what happens if the counter doesn't exist, or how 'by' relates to the increment, leaving significant gaps.

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

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

Schema description coverage is 0% and the description does not explain the parameters 'id' or 'by'. The description fails to compensate for the lack of schema details, leaving parameter meaning entirely implicit.

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 increments a counter atomically, which is a specific verb+resource action. It distinguishes from sibling tools like create_counter, but does not explicitly reference the 'id' parameter or differentiate from similar operations like credit_balance.

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

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

No guidance is provided on when to use this tool versus alternatives. There is no mention of exclusions, prerequisites, or scenarios where another tool would be more appropriate.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the action without revealing side effects, persistence semantics, return values, permissions, or lifecycle implications. The term 'crash checkpoint store' is unexplained.

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 short sentence with no fluff, but it is under-specified. It conveys the core purpose but lacks necessary detail. The brevity is not a strength given the lack of schema and annotation information.

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

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

Given one parameter with zero description coverage, no annotations, and no output schema, the description is incomplete. It fails to explain what the 'days' parameter does, what a crash checkpoint store is, or what happens on creation. The tool is not adequately specified for an agent to use 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 schema has one parameter 'days' with an empty description, and the schema description coverage is 0%. The tool description does not mention 'days' at all, so it adds no meaning to the parameter. The description fails to compensate for the lack of schema documentation.

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

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

The description 'Create a crash checkpoint store' uses a specific verb ('create') and resource ('crash checkpoint store'), making the basic action clear. It is distinct from sibling tools like load_checkpoint and save_checkpoint, though it does not explicitly differentiate itself.

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

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

The description provides no guidance on when to use this tool versus alternatives. It does not mention any preconditions, exclusions, or context where another tool (e.g., save_checkpoint, load_checkpoint) would 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, the description carries the full burden of disclosing behavior, but it only says 'Create an atomic counter.' It does not mention side effects, return values, persistence, or the meaning of 'atomic' in execution, making it 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 extremely brief and front-loaded, but it is under-specified. Four words convey the core action but fail to provide necessary details for a tool with two parameters.

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 absence of an output schema, empty parameter descriptions, and no annotations, the one-sentence description is insufficient to understand return values, parameter usage, or operational behavior. It is incomplete even for a simple create tool.

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

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

Schema description coverage is 0% and both parameters (days, start) have empty descriptions. The tool description does not mention these parameters or their purposes, leaving the agent with no semantic information to invoke the tool correctly.

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 resource ('atomic counter'), which distinguishes it from sibling tools like counter_incr. However, it does not explain what an atomic counter is, leaving some ambiguity about the resource's nature.

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

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

No guidance is provided on when to use this tool versus alternatives. The presence of sibling tools such as counter_incr suggests a lifecycle, but the description does not mention any usage context, prerequisites, or exclusions.

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

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

With no annotations, the description must explain behavior fully. It states the core trigger (stop checking in -> fire webhook) but omits crucial details: is this a one-time firing or recurring? Does the switch persist? What is the role of interval_seconds and days? Are there side effects like resource cleanup? This is insufficient for a mutation tool with lifecycle.

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, memorable sentence that immediately conveys the tool's purpose. However, it earns this score by being too terse; it sacrifices useful behavioral and parameter context 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?

For a tool with 4 parameters and no output schema, the description is incomplete. It doesn't mention the companion checkin_deadman tool, the firing behavior, or explain the 'days' parameter. A new user would need to explore further to use 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 description provides no parameter-level context. The schema covers 3 of 4 parameters, but 'days' has an empty description, and the description doesn't clarify how days relates to interval_seconds or the dead-man switch logic. Users are left to guess the semantics of days.

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 explains the dead-man switch concept: it fires your alert webhook if you stop checking in. This distinguishes it from sibling tools like create_watch or create_schedule, which have different trigger mechanisms. The behavior is specific and actionable.

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 create_watch or create_schedule. The description doesn't mention that checkin_deadman is the companion tool for periodic check-ins, nor does it specify any preconditions or post-conditions.

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

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

With no annotations, the description carries the full behavioral burden. It discloses meaningful traits: the 100-item limit, immediate acceptance ('now'), and fixed-rate webhook delivery. However, it does not clarify the semantics of 'fixed rate' relative to the rate_seconds parameter, nor does it mention error handling, webhook authentication, or return values, leaving some ambiguity.

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

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

The description is a single, concise sentence (14 words) that front-loads the core purpose and key constraint. Every word contributes meaning—no filler, fluff, or repetition of schema details. It is an excellent example of efficient writing.

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 3 parameters, no output schema, and no annotations, the description is too brief to be fully complete. It fails to explain the rate_seconds parameter meaning, whether url requires a specific format or protocol, what happens when more than 100 items are provided, or what the caller should expect in response. These gaps leave the tool under-specified for reliable 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 description adds some meaning beyond the schema: 'webhook' clarifies the url parameter, 'items' are the payload, and 'fixed rate' hints at the rate_seconds parameter. However, it does not specify units for rate_seconds or clarify that rate_seconds is optional, and it does not mention the 100-item limit in the schema context. With schema coverage at 67%, the description provides partial compensation but not complete clarity.

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

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

The description states a clear action ('Dump up to 100 items now') and destination ('deliver them to your webhook at a fixed rate'). It identifies the resource (items), scope (up to 100), and delivery mode (fixed rate to webhook), which distinguishes it from sibling tools like create_queue or delayed_delivery. However, the verb 'Dump' is informal and the behavior is not fully exact.

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 'Dump ... now' implies immediate ingestion with controlled output, and 'fixed rate' suggests rate-limited delivery. However, the description provides no explicit when-to-use guidance, exclusions, or alternatives. No comparison is made to sibling tools such as create_queue or guaranteed_delivery, leaving the appropriate use case only implied.

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

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

The description discloses the core mechanism (webhook steps with delays until acknowledgment) and the termination condition. However, with no annotations, it leaves out key behavioral details such as how acknowledgment is signaled, whether the call blocks, and what happens if the chain is never acknowledged.

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 essential escalation flow without unnecessary words. It is highly concise and well-structured.

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

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

There is no output schema or annotations, so the description must explain return values, side effects, and acknowledgement mechanics. It only provides the high-level process, leaving significant gaps for an agent trying to invoke the tool correctly.

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

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

Schema coverage is only 33%, and the description only adds meaning to wait_seconds indirectly via 'after N seconds'. The 'days' and 'subject' parameters remain completely unexplained, and the structure of 'steps' is only minimally clarified by the schema's own description.

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

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

The description states a clear purpose: create an escalation chain where webhooks are sent, followed by delays, until acknowledgment. It distinguishes itself from generic create_* tools by describing the escalation behavior, though it does not explicitly name sibling 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?

There is no guidance on when to use this tool versus alternatives like create_drip or create_schedule. It does not state prerequisites, exclusions, or typical use cases beyond the implicit notion of escalation.

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

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

No annotations are provided, so the description carries the burden. It discloses the durable, retry-until-ack behavior, which is valuable, but it omits side effects, failure modes, and operational limits, leaving notable 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?

One sentence of 15 words, front-loaded with the core purpose and zero filler. Every word contributes to understanding the tool's function.

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

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

For a tool with three parameters and no output schema, the description omits critical details about how buffering is configured (days, replay_hours), what the created frontdoor returns, and operational limits. This is insufficient for complex use cases.

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

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

Schema coverage is only 33% (only 'target' has a description), and the description does not explain 'days' or 'replay_hours' at all, even though they are likely central to the buffering behavior. The description adds no meaning beyond the schema's 'target' field.

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 'buffers' and 'forwards' to a resource (webhooks to gateway), clearly distinguishing it from sibling tools like create_queue or create_inbox. The 'retry-until-ack' behavior adds a unique, concrete scope.

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

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

Provides clear context that this tool is for durable webhook buffering with retry-until-ack, which implies when it should be used. However, it does not explicitly name alternatives or exclusion criteria, stopping short of full 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?

There are no annotations, so the description carries the full burden of disclosing side effects, permissions, or idempotency behavior. It only says 'Create' and gives no information about mutability, duplicates, return values, or required access, which is a significant gap for a create 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 short sentence with no wasted words, but it under-specifies the tool's behavior and available parameters. It is concise rather than informative, falling between adequate and under-specified.

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

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

For a tool with no annotations and no output schema, one vague sentence is insufficient. The description does not explain the operating context, the meaning of the optional 'days' parameter, or what a successful creation returns, leaving important gaps for an AI agent.

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

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

The input schema has one parameter, 'days', with an empty description (0% schema coverage), and the tool description never mentions it or explains what the number means. The agent cannot determine how to set this parameter from any provided text.

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 direct action verb and identifies a specific resource type ('idempotency/replay firewall'), which distinguishes it from the many other create_* siblings. However, it offers no elaboration on what this firewall actually does, so it stops short of being fully self-explanatory.

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

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

No guidance is provided about when to use this tool versus the numerous create_* siblings, nor any exclusions or prerequisites. The description only names the resource and leaves usage entirely to inference.

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

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

With no annotations, the description carries the burden of disclosing behavior. It does reveal that the URL is public and that webhooks are buffered, but it omits key traits such as retention limits, expiry, authentication requirements, or what happens to uncollected webhooks.

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 efficiently conveys the tool's purpose without filler. 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 tool with optional parameters and no annotations, the description provides a basic understanding but lacks important context such as return value (the URL) and lifecycle details. Given the low complexity, this is adequate but leaves gaps.

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

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

The description does not mention either the 'days' or 'label' parameters, leaving the schema's incomplete descriptions (especially label's empty description) unaddressed. With 50% schema coverage, the tool description should compensate but doesn't.

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 explains the tool creates a public URL that buffers inbound webhooks, which conveys its core function. It is specific about the resource and action, but it does not explicitly contrast with sibling tools like collect_messages or create_queue, so it stops short of full differentiation.

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

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

No guidance is given on when to use this tool instead of alternatives such as create_queue or create_frontdoor, nor are any prerequisites or exclusions mentioned. The intended use case is only implicit from the phrase 'until you collect them.'

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 is the sole source of behavioral info. It discloses the link expires and tracks clicks, but does not mention return value, permission requirements, side effects, or what 'click stats' entails.

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, concise, front-loaded with the verb. No unnecessary words.

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

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

The tool is simple with two parameters, but there is no output schema and no annotation. The description does not specify what the returned value looks like, which is a gap. The 'days' parameter semantics are left implicit.

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 only 50%; the 'days' parameter lacks a description. The tool's 'expiring' qualifier implies that 'days' controls expiration, but it does not explicitly state units or required format. 'target' is already documented in the schema.

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

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

The description clearly states the tool's function: 'Create an expiring share link with click stats.' It uses a specific verb and resource, and the distinctive features ('expiring', 'click stats') distinguish it from sibling 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?

No explicit usage guidance or alternatives are provided. The context is clear (create a link), but the description does not indicate when to prefer this over other tools or mention prerequisites.

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

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

With no annotations provided, the description carries the full burden of disclosing behavior. It contributes useful semantics: the queue is pull-based, uses leases, and timed-out leases are requeued. However, it says nothing about the creation operation's side effects, idempotency, or permission requirements, leaving important behavioral aspects undisclosed.

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, information-dense sentence. It front-loads the key concept (pull-based work queue) and adds a critical behavior (timed-out leases requeue) without wasted words. It earns a high score for conciseness, though it stops short of 5 because it omits parameter explanations that would improve its 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?

For a tool with three undocumented parameters and no output schema, the description is largely incomplete. It explains the queue's behavior but leaves the practical usage (what parameters mean, what the result is, how to interact after creation) entirely unstated. The agent cannot confidently 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 schema has three parameters (days, max_attempts, lease_seconds) with 0% description coverage. The description does not mention any of them, nor does it offer hints about their purpose. Since the schema descriptions are empty, the agent has no way to understand what these parameters control.

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 describes the tool as a 'pull-based work queue with leases,' which clearly identifies the resource type. While the verb 'create' is not explicitly stated in the description, the tool name 'create_queue' makes the action evident. It lacks a direct verb, so it doesn't fully meet the 5-level criteria.

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 relative to its siblings like queue_push, queue_lease, or other create_* tools. It doesn't mention prerequisites, competing alternatives, or exclusion criteria. The agent must infer usage from the tool name alone.

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

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

The phrase 'until the prepaid days run out' adds a useful lifecycle detail beyond the schema. However, with no annotations, the description fails to disclose side effects, authentication needs, or what happens upon expiration, leaving notable behavioral gaps.

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

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

A single 10-word sentence is concise and front-loaded with the core idea, but it is a noun phrase rather than an imperative, slightly reducing its clarity as an action directive.

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 lack of annotations and output schema, the description leaves significant practical questions unanswered, such as the response format, error handling, and the purpose of the payload parameter. This makes it incomplete for safe 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 already provides descriptions for url, cron, and days (75% coverage), and the description adds little beyond restating these concepts. The payload parameter remains entirely unexplained, so the description does not compensate for that gap.

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

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

The description clearly identifies the tool as creating a recurring webhook scheduled by a cron expression, which distinguishes it from sibling creation tools. However, it lacks an explicit imperative verb like 'create', relying on the tool name to convey the action.

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

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

There is no guidance on when to use this tool versus alternatives such as create_drip or create_wakeup. It does not mention prerequisites, exclusions, or specific scenarios that would call for this tool.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It indicates a write/mutation operation ('Mint') but does not disclose permissions, reversibility, whether the cap is enforced automatically, or side effects on the parent token. This leaves significant behavioral ambiguity.

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

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

The description is a single, well-structured sentence with no filler. It front-loads the core action ('Mint') and key attribute ('spend-capped'), making it efficient and easy to parse.

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

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

For a tool with no annotations, no output schema, and incomplete parameter descriptions, this description is too brief. It fails to explain what the token enables, how it is used by a sub-agent, or what the optional parameters do, leaving essential context missing.

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

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

Schema coverage is only 33% (cap_usd is described as 'hard spend cap'), while days and label have empty descriptions. The description does not elaborate on these parameters or how they relate to the spend-capped token, failing to compensate for the low schema coverage.

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

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

The description uses the specific verb 'Mint' and clearly identifies the resource as a 'child token' with the key attribute 'spend-capped' and purpose 'for a sub-agent.' This distinguishes it from sibling create_* tools like create_vault or create_drip, which target different resource types.

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

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

The description implies the tool is for creating a token for sub-agents but provides no explicit guidance on when to use it versus alternatives or any prerequisites/exclusions. It is not misleading, but the usage context is only implied rather than stated.

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

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

With no annotations provided, the description carries the transparency burden. It does disclose meaningful behavioral traits: persistence across runs and TTL-based expiry. However, it omits side effects, idempotency, permission requirements, and return value, making the disclosure partial.

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, repetition, or extraneous detail. Every word contributes to understanding the tool's 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?

For a create operation with no annotations, no output schema, and undocumented parameters, this description is too sparse to fully support invocation. It conveys the core purpose but leaves parameter semantics and expected behavioral details uncovered.

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 0% description coverage and the description does not mention 'days' or 'label'. The parameter names themselves hint at meaning, but the description adds no explicit mapping, units, or purpose for each parameter, leaving the agent to guess.

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 the specific verb 'Create' and identifies the resource as a 'key-value namespace with TTL', which clearly distinguishes it from sibling create_* tools like create_queue or create_counter. The added context 'survives your runs' clarifies the intended use case without ambiguity.

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, and it does not mention any exclusions or sibling comparisons. It only states the action, leaving the agent to infer usage context from the tool name and description.

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

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

With no annotations provided, the description carries the full burden. It discloses a critical behavioral trait: the webhook fires even if the agent dies, which reassures about durability. It stops short of explaining cancellation, retries, or delivery guarantees, but the included detail is valuable and not evident from the schema.

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

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

The description consists of two concise sentences, front-loaded with the action 'Schedule a webhook call.' Every word earns its place: 'one-shot' differentiates, and 'Your agent can die; the call still happens' adds critical behavior. No fluff or redundancy.

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

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

For a simple tool with three parameters, no output schema, and clear sibling context, the description covers the essentials: what it does, one-shot behavior, and durability. It is complete enough for an agent to select and invoke the tool correctly. Minor gaps like webhook authentication or response details are not necessary for basic 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 coverage is 100% for all three parameters, so the baseline is 3. The description does not add any parameter-specific detail beyond what the schema already provides. It simply repeats the 'webhook call' context, making the description's contribution to parameter understanding minimal.

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

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

The description states a specific verb and resource: 'Schedule a webhook call at a future time (one-shot).' The qualifier 'one-shot' clearly distinguishes it from recurring sibling tools like create_drip, create_schedule, and create_deadman. This is exact 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 clear context for when to use this tool by specifying 'one-shot' and 'Your agent can die; the call still happens.' This implies it is for fire-and-forget, durable scheduling. However, it does not explicitly name alternatives or state when not to use it, so it falls short of a 5.

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

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

With no annotations provided, the description carries the full burden of explaining behavior. It states that a webhook fires on change but does not elaborate on polling intervals, error handling, how long a watch persists, or what happens when resources are created. The type-specific behaviors are merely listed, not explained, leaving significant gaps for a 16-parameter 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 two sentences long and front-loaded with the core action ('Watch something and fire your webhook when it changes'). The type list is compact and adds value by enumerating supported modes. There is no filler or redundant text.

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

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

The tool has 16 parameters, no output schema, and no annotations. The description provides only a high-level summary and a type list, but does not explain how parameters interact with types, expected responses, or operational details such as resource cleanup. This is insufficient for an agent to correctly configure a watch without additional knowledge.

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 only 63% description coverage, with several parameters (days, json, port, keyword, interval_seconds) having empty descriptions. The tool description adds no parameter-level meaning beyond the schema; it only lists types without mapping them to the appropriate parameters. This fails to compensate for the roughly 6 undocumented 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's function: 'Watch something and fire your webhook when it changes.' It also lists a broad set of watch types, making it easy to understand the core capability. However, it doesn't explicitly distinguish itself from sibling tools like create_deadman or watch_status, though the overall purpose is unambiguous.

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

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

The types list implies use cases (e.g., 'keyword' for keyword watches, 'cert' for certificate monitoring), but there is no explicit guidance on when to choose this tool over a sibling or when not to use it. No alternatives are mentioned, such as using watch_status to inspect an existing watch, so the guidance is only implied.

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

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

With no annotations, the description carries the burden of safety disclosure. 'Check' strongly implies a read-only operation, but it does not explicitly state that there are no side effects, permissions needed, or rate limits. This is acceptable but not fully transparent.

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 conveys the essential function with no redundancy. It is front-loaded with the action ('Check') and directly states the target, 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?

Given the tool's low complexity, no parameters, and no output schema, the description adequately explains the purpose. It could optionally mention the expected return format (e.g., numeric balance, currency), but this is not critical for a simple balance check and the description is otherwise 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?

The input schema has zero parameters, so the description does not need to explain any. Per the baseline for zero-parameter tools, a score of 4 is appropriate; the description adds no parameter details but none are required.

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

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

The description uses a specific verb ('Check') and clearly identifies the resource ('balance of your prepaid credit token'). This unambiguously distinguishes it from siblings like 'get_trial_credit' by specifying 'prepaid credit 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 implies usage by stating the action, but provides no explicit guidance on when to use this tool versus alternatives, nor any exclusions or prerequisites. For a simple read tool, the context is implied but not explicitly framed.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It reveals the HTTP method and delay aspect, but does not explain storage semantics, confirmation/response behavior, failure handling, or whether the operation is fire-and-forget. This leaves significant ambiguity for the agent.

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, punchy sentence with no filler. It front-loads the action and uses straightforward language, earning 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 there is no output schema and no annotations, the description must cover operational expectations. It fails to mention what the tool returns (e.g., delivery ID, success confirmation), error conditions (e.g., invalid time, unreachable URL), or payload structure. For a 3-parameter tool, this is 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 coverage is 67% (at and url have descriptions, payload does not). The description confirms that 'payload' is what gets handed over, and 'target' corresponds to url, but it adds little beyond the schema's existing field descriptions. It does not elaborate on payload structure or date/time format nuances.

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

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

The description clearly states the action: 'Hand over a payload now; we POST it to the target at a future moment.' It identifies the specific verb (POST), the resource (payload to target URL), and the unique timing (future moment), distinguishing it from immediate delivery or scheduling tools.

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

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

The description implies usage for delayed delivery scenarios but does not provide explicit guidance on when to use this tool versus alternatives like guaranteed_delivery, create_schedule, or create_drip. There are no exclusions or conditions mentioned, only the general context of future posting.

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

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

No annotations are provided, so the description carries the full burden. It only mentions the expiration condition but doesn't disclose return format, side effects, permissions, or what happens when exporting before or after expiration.

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 fluff, but it's under-specified and lacks essential context. It earns a middle score because it is not verbose, yet it doesn't convey enough information to be genuinely useful.

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

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

With no output schema and no annotations, the description should explain the export behavior, but it leaves many questions unanswered, such as what 'everything' includes, whether the operation is synchronous, and what happens upon expiry.

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

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

The single 'id' parameter has an empty description in the schema, and the tool description adds no additional detail about its format or meaning beyond implying it identifies a resource. With 0% schema coverage, the description fails to compensate.

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 specifies the action 'export' and the target 'resource', but 'everything under a resource' is vague, and 'before it expires' adds context rather than clarifying what qualifies as exportable content. It doesn't clearly distinguish from related tools like get_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?

No guidance is given on when to use this tool versus alternatives. The sibling list includes get_resource and extend_resource, but the description doesn't mention them or provide any preconditions, exclusions, or typical use cases.

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

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

With no annotations, the description must disclose side effects. It mentions 'paying again' implying a cost, but does not explain how payment works, whether the extension is reversible, or what happens on failure. This is insufficient for a mutating 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, front-loaded sentence with no filler words. It is maximally concise.

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 lack of annotations, output schema, and parameter descriptions, the description is too sparse. It omits return values, error cases, and any operational context needed to invoke the tool confidently.

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 two parameters (id, days) with 0% description coverage, and the description does not elaborate on their meaning. 'days' is left ambiguous (number of days? timestamp?), and it's unclear why it's optional. The description fails to compensate for the schema's lack of information.

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 'Extend a resource TTL by paying again' clearly identifies the action (extend), the target (resource TTL), and the mechanism (paying again). This distinguishes it from sibling tools like cancel_resource and get_resource, making the purpose 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, such as whether to use it for lease renewal or when not to use it. It lacks explicit context about prerequisites or competing tools.

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

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

With no annotations, the description carries the burden of disclosing behavior. It states a permission constraint (management token) and implies a read operation ('status'), but does not explicitly confirm non-mutating behavior, error conditions, or response format. 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?

The description is a single, front-loaded phrase with no wasted words. It efficiently conveys the core purpose, though it is a fragment and lacks additional structured 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?

Given the tool's low complexity (one parameter, no output schema, no annotations), the description covers the core function and scope but omits any return format, error handling, or explicit indication of read-only behavior. 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 schema has one parameter 'id' with an empty description, and schema coverage is 0%. The description does not explicitly explain that the 'id' parameter identifies the resource, only referencing 'any resource you hold the management token for.' This provides minimal, indirect meaning.

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

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

The description clearly indicates the tool returns the status of a resource, with a specific scope (resources for which the agent holds a management token). It distinguishes from siblings by this token condition, though it doesn't name alternatives. The grammar is a fragment but meaning 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?

The description implies the tool should be used when the agent needs the status of a resource it holds a management token for. It provides a prerequisite (token) but offers no explicit when-to-use vs alternatives or exclusions. This qualifies as implied usage.

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 retry/backoff behavior, which is useful, but omits critical details such as what counts as success, timeout/retry limits, failure handling, and side effects of POSTing. The transparency is too shallow for a tool with these 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 sentence that front-loads the action and key behavior. It is efficient, with zero filler or repetition.

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

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

Given the absence of an output schema and annotations, this description is under-specified for a tool that repeatedly POSTs until success. It lacks details on retry limits, success criteria, response format, and error behavior. The retry semantics are a major aspect that requires more context for an agent to invoke it correctly and safely.

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

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

The schema coverage is only 50% (url has 'target', payload has an empty description). The description adds no meaningful parameter semantics—'payload' is simply mentioned as the thing being POSTed, without structure, format, or required fields. It does not compensate for the schema gap.

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 ('POST') and resource ('a URL'), and the retry/backoff behavior distinguishes it from siblings like delayed_delivery. It is specific and immediately understandable.

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 'retried with backoff until it succeeds' implies a use case for reliable, guaranteed delivery, but there is no explicit guidance on when to choose it over siblings like delayed_delivery or attested_fetch. No exclusions or alternate tool references 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, the description carries the full burden of disclosing behavior. It states 'Read', implying a non-mutating operation, which is useful but incomplete. It does not mention error handling, behavior on missing keys, or return format, leaving significant undefined behavior.

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

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

The description is a single sentence that conveys the core operation with no wasted words. It is appropriately sized for a simple read 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?

The description is minimal and lacks context about return values, error conditions, or differentiation from kv_list. Since there is no output schema, the agent is left without information about what the tool returns or how it behaves in edge cases.

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

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

The schema describes 'id' as 'vault id' but leaves 'key' without a description. The tool description adds no new parameter-level detail beyond the schema. With only 50% schema coverage, the description fails to compensate for the undocumented 'key' parameter, relying on the parameter name for meaning.

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

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

The description uses the specific verb 'read' and resource 'value from a vault', clearly distinguishing it from sibling tools like kv_list (list keys) and kv_set (write). It precisely states the core operation.

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

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

No guidance is provided on when to use this tool vs alternatives such as kv_list or kv_set. There is no mention of prerequisites, typical scenarios, or exclusions.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states only the action 'list' but does not mention ordering, pagination, permissions, return format, or any side effects. This is a minimal disclosure for a list operation.

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

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

The description is a single, front-loaded sentence with no filler or redundancy. Every word contributes to stating the core function.

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

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

Given the simplicity of the tool (one well-described parameter, no output schema), the description is minimally sufficient but lacks details about return values, pagination, or error behaviors. It is adequate for straightforward use 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 the single 'id' parameter (described as 'vault id'). The description aligns by referencing 'a vault', but adds no extra meaning beyond 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 'List keys in a vault' uses a specific verb ('list') and resource ('keys') with a clear scope ('in a vault'), distinguishing it from sibling tools like kv_get and kv_set which retrieve or set a single key.

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 over alternatives such as kv_get or kv_set, and does not mention any exclusions or complementary tools. The agent must infer usage solely from the operation name.

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

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

With no annotations provided, the description carries the full burden for behavioral disclosure. It adds the max 1 MB constraint but omits critical behaviors such as whether an existing key is overwritten, whether authentication is required, or what happens on failure. 'Store' implies mutation, but no safety or side-effect information is given.

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

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

The description is a single, efficient sentence that is front-loaded with the core action and resource. Every word adds value, and there is no redundancy or filler.

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

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

For a write operation with no annotations, no output schema, and sparse parameter descriptions, the description is inadequate. It does not mention when to use it, overwrite behavior, return values, or any side effects beyond max size. The tool appears to be a fundamental KV store operation but lacks the behavioral context needed for an agent to invoke it correctly.

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

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

Schema description coverage is only 33% (only 'id' is described as 'vault id'). The description adds the max size for 'value' but does not clarify the meaning of 'key' or the relationship between id and key, nor does it specify expected formats. The description compensates only partially for the sparse schema.

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

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

The description states a clear action ('Store a value') and a clear resource ('in a vault'), with a specific size constraint. It distinguishes from read operations like kv_get/kv_list but does not explicitly differentiate from sibling store_secret, which could be confused for a similar write operation.

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

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

No guidance is provided on when to use kv_set versus alternatives like store_secret or create_vault. The description only states what it does, not the context or prerequisites for using 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?

With no annotations, the description is the sole source of behavioral information. It mentions the output is machine-readable and in USD, but does not disclose whether the operation is read-only, requires authentication, or any potential side effects or error behavior.

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

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

The description is a single, concise sentence that directly states the purpose and scope with no filler. It is front-loaded and every word 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 tool is simple with zero parameters, but the description could be more complete by specifying the exact machine-readable format (e.g., JSON, CSV) or any access requirements. As is, it is adequate but leaves some gaps in context.

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

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

The input schema has zero parameters, so the baseline is 4. The description correctly adds no parameter information, which is appropriate since there are no parameters to explain.

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 provides a machine-readable price list for all ZenVault services in USD, giving a specific scope and format. It distinguishes itself from siblings by being the only pricing-related tool among the listed operations.

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

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

No usage guidance is provided; the description simply defines the tool without mentioning when to use it or any alternatives. There is no indication of prerequisites, context, or exclusions.

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

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

With no annotations, the description carries the full burden for behavioral disclosure. It states the action but does not mention possible side effects, read-only nature, error handling, or behavior when no checkpoint exists.

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

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

The description is a single short sentence, but it is under-specified rather than concise. It omits crucial details about the parameter and usage context, so it is not appropriately sized for the tool's complexity.

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 one required parameter, no output schema, and no annotations, the description is severely incomplete. It fails to explain what 'id' refers to, what the tool returns, or what happens on failure, making it inadequate for an agent.

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

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

The schema has one required 'id' parameter with no description, and the tool description does not explain its meaning. The phrase 'latest saved' contradicts the need for an id, leaving parameter semantics entirely unclear.

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 'Load the latest saved checkpoint state' uses a specific verb (load) and resource (checkpoint state), clearly indicating its function. It distinguishes from siblings like save_checkpoint and create_checkpoint by its load action.

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

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

No guidance is provided on when to use this tool versus alternatives like save_checkpoint or create_checkpoint. There are no stated conditions, prerequisites, or exclusions, leaving the agent to infer usage.

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 burden for behavioral disclosure. It mentions 'signed proof' and 'existed at this moment', but does not explain side effects (e.g., whether it stores data, whether it requires authentication), return format, or behavior when both data and sha256 are provided. This lacks transparency for a tool that likely creates an attestation.

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, succinct sentence (10 words) that immediately conveys the core purpose. It is front-loaded with the key concept ('signed proof') and has 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 the absence of annotations and output schema, the description is too minimal. It does not explain what the tool returns, what happens when both data and sha256 are supplied, or any side effects. For a tool that likely performs a blockchain-like notarization, this is insufficient for an agent to use it correctly.

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

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

Schema description coverage is 67%; data and sha256 have descriptions, but note has none. The description adds slight clarity by linking 'hash' to sha256 and 'your data' to data, implying that data is hashed. However, it does not explain the note parameter or interaction rules between parameters, so it only marginally compensates for the schema gaps.

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 conveys the tool's function: providing signed proof that a hash or data existed at a specific time. It uses a specific concept (notarization) that distinguishes it from sibling tools, though it lacks an explicit verb like 'creates' or 'attests'.

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

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

There is no guidance on when to use this tool versus alternatives. It does not mention prerequisites, exclusions, or relationships to sibling tools like attested_fetch or create_checkpoint. The intended usage is only implied by the name and description.

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

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

The disclosure that the apprise URL is 'used once, never stored' adds meaningful behavioral context about data handling, which is valuable given no annotations are present. However, it omits other behavioral traits like delivery guarantees, error handling, or rate limits, so transparency is only partial.

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, front-loaded with the main action and resource, and includes the apprise URL disclosure without unnecessary words. Every part 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 3-param tool with no output schema and no annotations, the description covers the core purpose and a key behavioral detail, but lacks information about return behavior, delivery status, or failure modes. It is adequate for basic invocation but not fully complete.

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

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

The description adds some meaning by noting the apprise URL is ephemeral, but it does not explain the 'title' parameter (which has an empty schema description) or provide format details beyond the schema's terse labels. With only 67% schema coverage, the description compensates only slightly.

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 ('Send a message to a human') and specifies the resource (various chat services like Telegram, Discord, Slack, plus 100+ services). It does not explicitly distinguish from sibling tools, but the purpose 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 such as request_approval or create_inbox. It does not mention exclusions, prerequisites, or any comparative context.

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

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

No annotations are provided, so the description carries the full burden. It discloses the key behavior of publishing for a limited time ('for N days') but does not mention overwrite semantics, access control, or what happens when the page expires. This is a minimal but not misleading transparency.

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

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

The description is a single, front-loaded sentence that perfectly packs in the verb, resource, destination, and temporal scope. Zero 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?

For a simple publish tool, the description covers the core action but lacks usage context and behavioral details such as return values or side effects. With no output schema and many siblings, a more complete description would aid reliable selection and invocation.

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

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

The description adds meaning to the 'days' parameter, which has an empty schema description, by mapping it to 'N days' in the description. It also clarifies the roles of 'name' and 'html' implicitly. This compensates for the incomplete schema coverage.

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

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

The description clearly states the action (publish), resource (HTML page), target location (name.zenvault.eu), and duration (N days). It distinguishes this tool from siblings like 'create_link' by specifying the persistent domain and temporary nature.

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 temporary web hosting but does not explicitly state when to use this tool versus alternatives, nor does it mention any prerequisites or exclusions. Given the large sibling list, more explicit guidance would be helpful.

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

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

With no annotations provided, the description carries the full burden of disclosing behavioral traits. It only restates the action without mentioning side effects, such as what happens to the job after acknowledgment, whether it deletes the job, or any required permissions. 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 no wasted words. It captures the essential action and target efficiently.

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

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

Given the tool's complexity (3 parameters, no annotations, no output schema), the description is too sparse. It doesn't explain behavior after ack/nack, whether action is optional or defaults, or any prerequisites like having a lease. This makes the tool harder to use correctly without additional 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 coverage is only 33% (id has a description; job_id description is empty; action only has an enum). The description adds some meaning by explaining action as ack/nack and implying that job_id refers to the leased job. However, it doesn't fully compensate for the low coverage, leaving ambiguity around the default action and the id's role beyond being a queue identifier.

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

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

The description clearly states the action (acknowledge/nack) and the target (a leased job). It distinguishes from sibling queue tools like queue_lease and queue_push by its specific verb and object, though it doesn't explicitly name 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?

Usage is implied: you use this tool when you have a leased job and want to acknowledge or nack it. However, there is no explicit guidance on when to use it instead of other queue tools, nor are alternatives or exclusions mentioned.

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

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

No annotations are provided, so the description alone must disclose behavioral traits. It does not explain lease duration, exclusivity, behavior on an empty queue, whether the job is removed, or what the return value represents.

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: 'Lease the next job from a queue.' It is appropriately concise for the simple purpose it conveys.

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

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

With no output schema and no annotations, the description should clarify return values and operational behavior. It does not state what a lease returns, how long it lasts, or what happens on failure, leaving a significant gap for an agent invoking the tool.

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

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

The schema already documents the single required parameter 'id' with 'queue id' (100% coverage). The description adds no additional parameter semantics 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 names a specific verb ('Lease') and resource ('queue'), and specifies it operates on 'the next job'. It implicitly distinguishes from queue_push and queue_ack, but does not explicitly contrast them.

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

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

There is no guidance on when to use this tool versus alternatives like queue_ack, queue_push, or claim_operation. No use-case conditions, prerequisites, or exclusions 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, the description carries the full burden of behavioral disclosure. 'Push a job onto a queue' only states the basic action and implies a mutation, but it does not explain side effects, permissions, idempotency, failure modes, or return values.

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 is front-loaded and appropriately terse, though it could be more informative 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?

The tool has no output schema and no annotations, so the description should provide more context. It lacks information about return values, error behavior, prerequisites (e.g., whether the queue must exist), or whether the job ID is returned. This is incomplete for an agent to invoke it confidently.

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

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

The input schema already provides 100% coverage with descriptions for both parameters ('queue id' and 'job payload'). The description adds no additional meaning or context beyond the schema, so the baseline score of 3 is appropriate.

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

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

The description clearly states the verb 'push' and the resource 'a job onto a queue,' which is a specific action. However, it does not explicitly distinguish itself from sibling tools like queue_ack or queue_lease, so it misses the top score.

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

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

No guidance is provided on when to use this tool versus alternatives. The description simply states what it does, with no context about prerequisites, scenarios, or exclusions.

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

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

No annotations are provided, so the description carries full burden. It discloses key behavioral traits: it returns a URL for the human and a signed verdict for the agent, and times out as denied. This goes beyond the schema and gives important expectations, though it could further explain how the verdict is delivered (e.g., via webhook).

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 the core purpose, and no extraneous words. Every phrase adds value: 'Ask a human', 'returns a URL', 'signed verdict', 'times out as denied'.

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

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

The description covers the main workflow (request, human action, verdict) and timeout behavior. However, with 5 parameters and no output schema, it leaves gaps such as how the verdict is received (webhook vs direct return) and the role of 'apprise_url' and 'detail'. 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?

Schema description coverage is 80%, so baseline is 3. The description does not add meaning to individual parameters beyond what the schema provides; it does not clarify the 'action' format or 'timeout_seconds' behavior directly, though 'times out as denied' indirectly relates to timeout.

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 ('ask') and resource ('a human') with a clear action ('approve or deny an action'). It also distinguishes itself from siblings like 'notify_human' (which may just notify) and 'check_approval' (which checks status) by focusing on requesting approval.

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

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

The description clearly implies when to use the tool: when you need human approval for an action. It does not explicitly mention alternatives or exclusions, but the context is clear enough for an agent to recognize this is the approval-request tool.

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

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

No annotations are provided, so the description must carry the full burden of disclosing behavior. The only behavioral hint is 'Free,' which is ambiguous and does not explain side effects, persistence, confirmation, or whether this is a write action. The description fails to disclose what happens when the tool is called.

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: two short sentences with no unnecessary words. 'Free' is arguably optional but does not detract. Front-loaded with the core purpose, making it easy to parse quickly.

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

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

The tool is simple, but with no annotations and no output schema, the description should at least hint at the outcome (e.g., 'creates a feature request' or 'sends a message to the operator'). It only states the user's action, not the tool's behavior or result, leaving significant ambiguity for an agent.

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

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

Schema description coverage is 100%, with each parameter having a basic description ('what you need', 'why', 'would you pay, how much'). The tool description adds 'what ZenVault is missing' to clarify the 'what' parameter, but does not significantly enhance understanding beyond the schema. Baseline 3 is appropriate.

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

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

The description clearly states the tool's purpose: 'Tell the operator what ZenVault is missing.' This is a specific verb ('tell') and resource ('operator') with a clear subject, distinguishing it from sibling tools like request_approval. No other tool fulfills this function.

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 is implied by the description: use this to tell the operator about missing features. However, there is no explicit guidance on when to use this tool versus alternatives, nor any exclusions or conditions. The context is clear enough but lacks explicit direction.

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

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

With no annotations provided, the description carries the full burden of disclosing side effects and behavior. It only states the high-level purpose and omits important details such as whether the checkpoint overwrites existing data, any permissions required, or what the response looks like. This is a significant gap for a write 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 sentence that is both concise and front-loaded, clearly communicating the core purpose without any unnecessary words. It earns a perfect score for efficiency.

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

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

Given the simplicity of the tool (2 params, no output schema), the description remains incomplete. It does not explain the lifecycle of a checkpoint, how to resume after a crash, whether the operation is idempotent, or what the return value is. This leaves the agent under-informed for a state-saving tool.

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

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

The input schema fully documents both parameters (id and state) with descriptions, so schema coverage is 100%. The tool description adds no additional parameter semantics beyond what the schema already provides, which is the baseline for this dimension.

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 ('Save run state') and its intended purpose ('resume after a crash'), which is specific and informative. However, it does not explicitly distinguish itself from the sibling tool 'create_checkpoint', which likely serves a similar role, leaving some ambiguity about when to use which.

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 'so you can resume after a crash' implies the usage context: saving state for crash recovery. However, the description provides no explicit guidance on when to use this tool versus alternatives like 'create_checkpoint' or 'load_checkpoint'.

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 cover behavioral traits itself. It discloses the key self-destruct-on-read behavior and the one-time read URL, but it does not explain the 'days' parameter (likely expiry), access control, or what happens if the URL is not used. This is basic disclosure but lacks depth.

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 directly conveys the core functionality and the return type. Every word adds value; there is no fluff 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 tool is relatively simple with only two parameters and no output schema, but the description still leaves gaps: the 'days' parameter is undocumented, and there is no usage guidance or mention of prerequisites. It covers the main purpose and return but is not fully self-sufficient.

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

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

All parameter descriptions are empty (0% schema coverage), so the description must compensate. It implicitly covers 'value' by saying 'store a value', but the 'days' parameter is completely unexplained. The description fails to clarify the meaning or purpose of the second parameter.

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

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

The description clearly states the tool's function: storing a value that self-destructs on first read and returns a one-time read URL. The verb 'store' and the unique self-destruct/one-time URL behavior clearly distinguish it from sibling tools like create_vault or create_link.

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-to-use or when-not-to-use guidance, nor does it mention alternatives. Usage is only implied by the described behavior; there is no direction on when this tool should be chosen over related tools.

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

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

With no annotations, the description must fully explain behavioral traits. It implies a read operation via 'Check' but does not explicitly state read-only nature, permissions, side effects, or the meaning of 'fires'. The behavioral profile is largely undisclosed.

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, but it is under-specified. It front-loads the action but then lists ambiguous output names without elaboration, making it less useful despite its brevity.

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

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

For a simple one-parameter tool with no output schema and no annotations, the description should clarify the return format and operational constraints. It lists three output aspects without defining them, leaving the tool's behavior underspecified.

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 one required parameter (id) with 0% description coverage. The tool description does not mention or explain the id parameter, leaving the agent without guidance on what value to supply.

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 specifies the action ('Check') and the resource ('a watch'), and lists the output aspects (last value, checks, fires), distinguishing it from create_watch. However, the meaning of 'checks' and 'fires' is ambiguous, preventing a perfect score.

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

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

The description gives no guidance on when to use this tool versus alternatives like get_resource or check_approval. There is no mention of prerequisites, exclusions, or contextual cues.

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