SCVD General Store

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

No annotations are provided, so the description bears full responsibility. It discloses all key behaviors: human fulfillment, 168h SLA, refund policy, payment via x402, verification endpoint, and guarantees/not-guarantees. This is exceptionally thorough and leaves no ambiguity about the tool's 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 lengthy but packed with valuable information. It front-loads key details (returns, price, latency) and organizes constraints and guarantees. Some phrases are redundant or overly promotional ('He's known for his good taste'), but overall it earns its length. A slightly tighter edit would improve conciseness.

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

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

Given the tool's complexity (human fulfillment, x402 payment, weekly limits) and the presence of an output schema, the description is remarkably complete. It explains the entire flow: order placement, payment, fulfillment, verification, and deliverable contents. The agent has all necessary context to use 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 description coverage is 100%, so baseline is 3. The description adds minimal extra detail about parameters beyond what the schema already provides. It does not explain parameter semantics further, though the overall context helps interpret their purpose. The description adequately supports parameter understanding but does not go above baseline.

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

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

The description clearly states the tool returns a written review of the buyer's app by the keeper after real use. It distinguishes itself among many 'buy_*' sibling tools by specifying 'App Review by the Keeper, $50 fixed' and detailing the constraints and process.

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 extensive context on when to use the tool, including constraints (2 per week, waitlist), fulfillment latency (168h), payment requirements, and verification. It lacks explicit guidance on when not to use it versus alternatives, but the coverage is strong enough for an agent to decide.

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 fully discloses behavioral traits: human fulfillment, 168-hour promise, payment via x402, error 402 on missing payment, guarantees and disclaimers. No contradictions.

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?

Descriptive with structured sections, but slightly verbose and contains redundancy (e.g., price details repeated). Front-loaded with core purpose, which aids quick comprehension.

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 (human fulfillment, payment, verification), the description is comprehensive. Covers workflow, error handling, guarantees, and references output schema. No gaps for agent guidance.

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

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

Schema coverage is 100%, and the description adds some context (e.g., 'detail' explained as 'What you need the keeper to know') but largely repeats schema descriptions. Does not significantly enhance understanding beyond the schema.

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

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

The description clearly states the tool buys a secret: 'Returns: One true thing the keeper has told no one else'. It specifies the unique output and distinguishes from sibling 'buy_*' tools by focusing on a personal secret.

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 extensive guidelines on when to use, including payment requirements, latency, and error handling. However, it does not explicitly compare to sibling tools or state when not to use alternatives.

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

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

With no annotations, the description fully discloses behavior: latency (delivered in same request), payment method (x402), error handling (402 with requirements), verification endpoint, guarantees (signature validity, free verification), and limits. This is comprehensive and leaves no 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 information-rich but contains some redundancy (e.g., the 'entitles the holder to nothing' phrase repeated, and price tiers restated). It could be more concise while retaining key facts.

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 (payment, verification, guarantees) and the presence of an output schema (though not shown), the description covers all essential aspects: return values, error conditions, constraints, and lifecycle. It is fully complete for an AI to select and invoke 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?

There is one optional parameter (agent_name) with 100% schema coverage. The description does not add new semantic meaning beyond the schema's description, meeting the baseline but not exceeding it.

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

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

The description clearly states that the tool returns a signed certificate of patronage and a gilt badge with no material entitlement. It specifies the price tiers and payment mechanism, distinguishing it from sibling buy_* tools that sell other items.

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

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

The description explains the tool is for those who wish to support the store and want a symbolic certificate. It does not explicitly state when not to use it or name alternatives, but the context of patronage is clear. Guidance could be more direct about differentiating from other purchase 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 covers payment via x402, error 402 on missing payment, latency in same request, free verification, and guarantees. It discloses behavioral traits well, though authentication requirements are implied.

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 overly verbose with tangential phrases like 'Coffee's for Closers, $3 fixed. It's in the name.' It lacks structured organization, making it harder 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?

Given the tool's complexity (payment, certification, verification), the description covers return fields, payment flow, error handling, and verification. It is fairly complete, though the output schema content is not fully detailed.

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

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

Schema coverage is 100%, so parameters are already described. The description adds that the win parameter is recorded verbatim and not treated as instructions, providing useful semantic context beyond the schema.

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

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

The description clearly states the tool returns a coffee and records a win on a signed certificate, making the purpose specific. It distinguishes from siblings by mentioning 'Coffee's for Closers' and the $3 fixed price, though it does not explicitly compare to other buy_ 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 closers and provides constraints (win parameter, verbatim recording) but lacks explicit guidance on when to use this tool versus alternatives. No when-not-to-use or direct sibling comparisons are given.

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

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

With no annotations, the description fully covers behavioral traits: payment mechanism, error handling, verification, guarantees, and non-guarantees. It is exhaustive and honest.

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 lengthy but well-structured with clear sections and bullet points. It front-loads key information (returns, price, latency) and avoids redundancy, though could be slightly more 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 tool's complexity (payment, storage, verification), the description is complete, covering all aspects including return fields, error codes, and limitations.

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%, but the description adds context by restating parameter purposes (e.g., 'who you are and what you were doing') and constraints, enhancing understanding beyond the schema.

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

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

The description clearly states the tool's function: it takes a state summary, signs it, stores it, and returns a stable URL. It distinguishes this from other buy tools by specifying the unique 'memory restore point' functionality.

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 explains the use case (storing a summary of agent state) and provides details like price and constraints, but does not explicitly mention when not to use or compare with sibling 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 provided, the description carries the full burden of transparency. It discloses key behaviors: deterministic output, instant delivery, payment required via x402, error handling if payment missing, verification free and unlimited, and explicit 'Not guaranteed' clauses. This is comprehensive, though it could be more succinct.

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 overly verbose and repetitive. Multiple sentences restate the same idea (e.g., 'the day's fortune', 'same for every buyer until midnight UTC', 'a chalkboard, not a slot machine'). It could be reduced to 3-4 sentences without losing essential 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?

Despite verbosity, the description covers all relevant aspects: what it returns, price, payment mechanism, delivery latency, verification, constraints, and what is/is not guaranteed. Given the tool's low complexity and the presence of an output schema, this is sufficiently complete.

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

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

Schema coverage is 100% with one parameter 'agent_name' described as 'Optional name for the certificate and badge.' The description adds no additional meaning to this parameter, so it meets the baseline of 3 for high schema coverage without adding value.

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

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

The description clearly states that the tool returns 'The day's fortune', deterministic for the calendar date. It distinguishes itself from other buy tools by specifying it's a fixed daily fortune, same for all buyers until midnight UTC, and not a random slot machine. The verb 'buy' combined with 'daily fortune' is specific and well-explained.

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

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

The description does not provide any guidance on when to use this tool versus alternatives. It does not mention when not to use it, nor does it compare to sibling tools like buy_a_secret or buy_luckies. The only context is that it's a daily fortune purchase, but no decision-making criteria are 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It transparently details pricing ($2 USDC), payment method (x402), error handling (error 402 with requirements), latency (same request), and verification endpoint. It also notes the guarantee of validity and format, though it does not mention potential side effects beyond the purchase itself.

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 overly verbose and includes promotional language ('On what? On whatever you needed dibs on, the certificate records the moment, and the moment is yours.') that does not aid tool selection. It is not front-loaded; key functional details are mixed with marketing fluff. Multiple sentences could be removed without losing clarity.

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 an output schema (not shown but confirmed present), the description does not need to detail return values, yet it mentions result fields ('deliverable, cert_id, and patron_number'). It covers payment, verification, constraints, and one optional parameter. It is complete enough for a purchase tool with a simple signature.

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

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

Schema coverage is 100% with one optional parameter (agent_name) described as 'Optional name for the certificate and badge.' The description does not add further meaning beyond the schema, but the schema itself is sufficient. Baseline is 3 as no extra value is needed.

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

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

The description clearly states the tool returns 'Official dibs, signed and timestamped on a certificate,' which aligns with the name 'buy_dibs'. It provides a specific outcome and mentions the resource (dibs certificate). However, it does not explicitly distinguish this tool from sibling buy tools like 'buy_certificate_of_patronage' or 'buy_coffees_for_closers', resulting in some 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 lacks explicit guidance on when to use this tool versus alternatives. It mentions 'Settles arguments; starts better ones' as an implied use case, but does not provide clear context, exclusions, or comparisons to sibling tools. No when-not-to-use scenarios are described.

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 fully discloses key behaviors: instant certificate delivery, separate wall display, payment via x402, error 402 if unpaid, and guarantees on signature validity and verification. This level of detail is excellent for an 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 dense paragraph mixing return info, payment, constraints, and guarantees. It lacks clear structure (e.g., bullet points or sections) and contains redundant phrasing, making it harder for an agent to parse 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?

Despite providing rich behavioral context and output field names, the description omits proper documentation of the actual schema parameter (agent_name) and contradicts it by mentioning a 'tag' parameter. With an output schema present, the return is partially covered, but the parameter gap reduces completeness.

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

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

The input schema has a single optional parameter 'agent_name' with a brief description. The description adds no clarity for 'agent_name' and instead refers to a 'tag query parameter' that does not exist in the schema. This inconsistency severely undermines parameter understanding.

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

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

The description clearly states the tool records a buyer's tag on a signed certificate, distinguishing it from sibling 'buy_*' tools by its unique subject (graffiti on a train). However, the mismatch between the described 'tag' parameter and the actual schema's 'agent_name' introduces confusion, preventing a 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?

Extensive details are given about payment, error handling, and constraints, but the description does not explicitly state when to use this tool versus alternatives (e.g., other buy tools). The contradiction between the described 'tag' parameter and the schema further misleads about how to use the tool.

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

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

With no annotations, the description fully discloses behavior: payment via x402, error 402 if unpaid, verification endpoint, pricing tiers, latency, privacy, and guarantees. This is extensive and 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 verbose, with repetition (e.g., tiers mentioned multiple times). While front-loaded with key info, it could be more concise without losing substance.

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

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

Given tool complexity and the presence of an output schema, the description covers purpose, payment, error handling, verification, constraints, and guarantees comprehensively. It includes a live verification sample, making it 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 schema already provides detailed descriptions for both parameters (grievance and agent_name). The description adds context (verbatim storage, privacy) but does not significantly enhance semantics beyond baseline for 100% 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 purpose: it returns a certificate of a grudge held on the buyer's behalf, naming the grievance. This distinguishes it from sibling buy tools like buy_hello or buy_luckies, which have different products.

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 explains when to use this tool (when you have a grievance to vent) and provides constraints like abuse being refused. It does not explicitly compare to siblings, but the unique product makes usage clear.

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

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

Describes latency, verification endpoint, guarantees, and limitations in detail. With no annotations provided, the description fully carries the burden and exceeds expectations.

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?

Contains redundant information (e.g., price mentioned twice). While informative, it could be more streamlined without losing clarity.

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?

Covers return values, payment flow, verification, guarantees, and limitations comprehensively. Output schema exists, so return details are handled. No 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 covers the only parameter (agent_name) at 100%. Description adds no new meaning beyond schema, so baseline score of 3.

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

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

Clearly states it returns a signed greeting note, patron number, and badge URL. Identifies as the 'traditional first purchase' but does not explicitly contrast with sibling purchase tools, leaving some 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?

Explains payment via x402 and that it completes in one call, but lacks explicit guidance on when not to use or alternatives among siblings.

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

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

No annotations exist, so the description bears full responsibility. It fully discloses latency (168h), payment via x402, error behavior, verification process, guarantees, and non-guarantees. It explains the order-flow separation, making behavior highly 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 lengthy but well-structured, front-loading the most critical information (return, price, latency). Every sentence contributes value, though slight trimming could improve conciseness.

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

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

Given full schema coverage and the presence of an output schema (not shown), the description covers all needed aspects: return, constraints, error handling, SLA, verification. It is complete for a complex tool with human involvement.

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% (all parameters have descriptions), but the description adds context: detail max length and relationship to other tools (quick_judgment, phone_call). This adds meaning beyond the schema.

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

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

The description clearly states the tool's purpose: it returns a signed, dated attestation of a real-world condition observed first-hand. It distinguishes itself from sibling tools by specifying unique constraints (e.g., lawful requests, no surveillance, 2 per week), making its purpose unmistakable.

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

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

The description provides explicit constraints (lawful, polite, within reach, no surveillance, 2 per week) and mentions failure modes (error 402, waitlist). While it does not directly compare to siblings, the constraints serve as effective usage guidance.

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

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

With no annotations, the description carries full burden. It discloses key behaviors: instant delivery in same request, payment via x402, verification endpoint, constraints about the herd and draw, and lists guaranteed/not-guaranteed aspects. However, the disclosure is somewhat scattered and could be more structured.

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 excessively verbose and includes irrelevant poetic phrases (e.g., 'His OCD doesn't care, and neither will yours') that do not aid an AI agent. Important information is buried among extraneous text, reducing conciseness.

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

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

Given the presence of an output schema, the description covers payment requirements, verification, and constraints adequately. However, it lacks a clear summary of prerequisites (e.g., needing USDC) and is not well-organized, making it harder for an agent to extract complete 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 only parameter (agent_name) is fully described in the schema (100% coverage). The description adds no additional semantics about parameters, so a baseline of 3 is appropriate.

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

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

The description clearly states that the tool returns a lucky drawn from the keeper's herd, including an animal, lucky note, and strength on a signed card. However, it is somewhat cluttered with poetic language, and while it distinguishes from other 'buy_*' tools by topic, it does not explicitly differentiate its functionality.

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 guidance on when to use this tool versus alternatives. It mentions payment via x402 and that it completes in one call, but lacks context on prerequisites or conditions for preferring this tool over other purchase 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 provided, the description fully discloses behavioral traits: payment model (x402, tiers), latency (delivered in response, sellout at zero), constraints (keeper-made, bar shelf), guarantees, and verification endpoint. It covers all relevant operational details.

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

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

The description is long and contains poetic redundancies (e.g., 'Certificate of Nomenclature' repeated), but it is structured with clear sections (Returns, Price, Latency, etc.). It could be more concise without losing essential 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?

Despite lacking an explicit output schema, the description explains the result fields (deliverable, order_id, cert_id, patron_number). It also covers payment, verification, guarantees, and constraints, making it fairly complete for a complex tool with no annotations.

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

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

Schema description coverage is 100%, and the description adds minimal new meaning beyond what the schema provides (e.g., '600 characters' for detail). The description rephrases parameter purposes but does not reveal non-obvious usage 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 uses specific verbs like 'Returns' and 'bestows a name' to clearly state the tool's function of providing a unique, keeper-chosen name on a certificate. It distinguishes from sibling tools by emphasizing that this is a naming service, not a generic purchase.

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

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

No explicit guidance is given on when to use this tool versus any of the many sibling tools (e.g., buy_certificate_of_patronage, buy_portrait). While the tool's unique purpose is clear, the description does not provide criteria for when this is the appropriate choice.

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

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

With no annotations provided, the description fully discloses behavior: out-of-band execution, delay, signing, verification, guarantees, and limitations. It is exceptionally transparent about what is and isn't guaranteed.

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 thorough but somewhat verbose. It front-loads the core return and payment info, then details constraints and guarantees. Every sentence adds value, but it could be slightly more 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 output schema exists (mentioned), the description covers payment, verification, constraints, and behavioral nuances comprehensively. It leaves no obvious gaps for an agent to understand tool 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%, and the description adds contextual meaning for both parameters ('URL the store walks past', 'name for certificate and badge'), going beyond the schema's short descriptions.

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

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

The description clearly states the tool returns a signed observation of a named URL after a delay, with specific details on price, latency, and verification. It distinguishes itself from sibling 'buy_*' tools by its unique delayed check 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 explains when to use (to get a signed attestation of a URL's status after ~6 hours) and provides important context like payment requirements and verification. It doesn't explicitly list alternatives but implies uniqueness among siblings.

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

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

With no annotations, the description carries full burden. It discloses: human fulfillment within 168h, verification endpoint, refund policy, guarantee and non-guarantee items, and the workflow (order first, then deliverable). This is comprehensive and beyond what annotations would provide.

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 lengthy and contains some redundancy (e.g., 'One Genuine Human Phone Call, $25 fixed' appears twice). While structured with sections, it could be more succinct. Every sentence adds value but the total length could be reduced.

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 optional params, output schema exists), the description covers all necessary aspects: payment, order lifecycle, verification, guarantees, and constraints like rate limits and waitlist. It fully prepares the agent for correct invocation.

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

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

Schema description coverage is 100%, so the schema already documents all parameters. The description adds little beyond the schema for 'detail', 'agent_name', and 'callback_url'. It does provide context about payment but not parameter-specific meaning, earning a baseline score.

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 'Returns: One telephone call made by the keeper on the buyer's behalf' and 'The keeper picks up an actual telephone and makes one call on your behalf.' It uses specific verbs and resource, and distinguishes from siblings like 'buy_quick_judgment' by focusing on the phone call service.

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

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

The description provides explicit constraints: 'Lawful requests only; Polite, always; US business hours; No impersonation; 3 per week; a waitlist opens when the shelf empties.' It also explains payment requirements ('Payment rides x402') and error handling ('without it this tool returns error 402'). This fully guides when and how to use the tool.

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

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

With no annotations, the description fully discloses behavior: returns order_id/url, not goods; human fulfillment within 168h; payment via x402; error 402 if missing payment; guarantees and disclaimers. Extremely 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 long and contains repetition (e.g., 'Hand-Drawn Portrait of You, an Agent, $8 minimum...' appears twice). Could be more concise while retaining key information.

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

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

Given the tool's complexity (human fulfillment, payment, verification, guarantees), the description covers all necessary aspects. Output schema details are explained, and constraints are clear.

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

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

All 3 parameters are described in the schema with detailed descriptions. The description adds little beyond the schema (e.g., restates 'What you need the keeper to know'). Baseline 3 due to 100% 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 it returns a hand-drawn portrait of the buyer, with specific details about price and fulfillment. It differentiates itself from sibling 'buy_*' tools by specifying the unique product (portrait).

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 context like human fulfillment, 168h window, and x402 payment, which implies when to use. However, it does not explicitly compare to sibling tools or state when NOT to use it.

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

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

With no annotations, the description fully discloses human fulfillment within 168h, payment via x402, error 402 on missing payment, verification endpoint, refund guarantee, and what is/is not guaranteed. This is exhaustive and honest about the tool's 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 long but each sentence adds necessary detail about price, latency, verification, and constraints. It is front-loaded with the core purpose and structured logically, though could be slightly more 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 tool's complexity (human fulfillment, payment, verification), the description covers input, output, error handling, SLA, guarantees, and exclusions. An output schema exists, so return values are documented elsewhere, making the description complete for agent invocation.

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

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

Schema coverage is 100% (all 3 parameters have descriptions). The description adds value by explaining the payment flow, character limit for detail, and the purpose of callback_url and agent_name beyond the schema.

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

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

The description states the tool returns 'one honest verdict from the keeper on the dilemma supplied,' distinguishing it from sibling tools like buy_phone_call or buy_app_gutcheck. The verb 'buy' combined with 'quick_judgment' clearly indicates this is a paid service for a human judgment.

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 specifies constraints (5 per week, waitlist when empty) and limitations (not legal/medical/financial advice), giving clear usage context. It does not explicitly mention when to avoid this tool, but the sibling tool names (e.g., buy_phone_call) imply alternative services.

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 fully covers behavioral aspects: it details the return value, payment via x402, error handling (402), latency, verification URL, extension behavior, and guarantees. This is exceptionally thorough.

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 verbose and disorganized, repeating information (e.g., 'A 30-day standing patronage pass' appears twice). It could be significantly shortened and front-loaded with key points.

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 presence of an output schema, the description adequately covers return values, payment, verification, and constraints. It lacks error scenarios beyond payment but is otherwise complete for a purchase 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 coverage is 100%, so the schema already documents both parameters. The description adds minimal extra meaning beyond the schema, mainly the behavioral context of pass_id extending the pass. No additional parameter details are provided.

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

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

The description clearly states it returns a 30-day standing patronage pass and explains the recurring nature. While it distinguishes itself from other buy tools (e.g., by mentioning monthly note and extension), it could more explicitly contrast with similar tools like buy_certificate_of_patronage.

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 other purchase tools. The description mentions extending an existing pass but does not specify prerequisites or when not to use it.

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

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

The description discloses many behavioral details: instant response, price, verification, constraints, and limitations. However, there is a major inconsistency: the description mentions parameters (tx_hash, payer, etc.) that are not in the input schema, which reduces trust in the description's accuracy.

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 excessively long, with redundant and poorly organized content. It starts with a bulleted list of outputs and constraints, then switches to a more narrative style. The structure is confusing and not 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?

Despite a detailed description of behavior and output, the tool is incomplete due to the mismatch between described parameters and the input schema. This undermines the tool's usability, as an agent cannot correctly invoke it based on the description.

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

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

The input schema has only one optional parameter 'agent_name', but the description discusses entirely different parameters (tx_hash, payer, etc.) without mentioning agent_name. The description adds no meaningful information about the actual schema parameter and contradicts it by implying other required inputs.

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

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

The tool's purpose is clearly stated: it returns a signed attestation of a Base transaction's settlement status. The description mentions 'Settlement Attestation' and details the possible statuses, making it distinct from other buy_* tools. However, the description is verbose and the purpose is somewhat buried in the middle.

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 usage constraints, such as 'no polling, no retry, no second look', and explains limitations (e.g., does not attest to delivery). However, it does not explicitly compare to sibling tools or advise when to use this tool over alternatives.

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

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

With no annotations, the description fully discloses behavior: instant delivery, never-same-slip guarantee, payment via x402, error 402 on missing payment, verification endpoint, and lists what is guaranteed vs not. No contradictions.

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 detailed but front-loaded with key facts (price, delivery, randomness). Some repetition (e.g., 'never the same slip twice' appears twice) slightly reduces conciseness, but overall efficient.

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

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

The description covers all relevant aspects: product, pricing, payment flow, response fields, verification method, guarantees, and error handling. Output schema exists and complements the description, so completeness is high.

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 optional parameter agent_name is well-described in the schema (maxLength, purpose). The description adds no further meaning beyond the schema; schema coverage is 100%, so 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 returns 'one blessing slip from a 45-slip jar' with unique properties (never same slip twice) and fixes price ($0.005). This distinguishes it from siblings like buy_a_secret or buy_grudge by product and cost.

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 purchasing a cheap, instant blessing and provides context (cheapest genuine article). It does not explicitly state when not to use or alternatives, but the price and product description guide the agent.

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 fully discloses behavioral traits: human fulfillment, 168h promise, x402 payment, error 402, verification endpoint, guarantees and exclusions. It is exhaustive.

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 informative but somewhat verbose, repeating information like the $25 minimum and tiers multiple times. It could be more concise without losing essential 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 the tool's complexity (human fulfillment, payment, verification), the description covers all critical aspects: order lifecycle, payment handling, error cases, guarantees, and output format. Output schema exists so return values are not solely required, but it still mentions order_id and order_url.

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

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

Schema coverage is 100% with descriptions already present. The description adds extra context for each parameter (e.g., 'quick_judgment dilemma' for detail, 'certificate and badge' for agent_name), enhancing understanding beyond 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 returns a collaborative piece brainstormed by both proprietors, shipped under joint byline. It distinguishes from siblings by noting it's the only item that involves both parties.

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 explains when to use (for a collaborative piece) and lists constraints (minimum $25, human fulfillment, 168h SLA), but does not explicitly mention when not to use or provide comparisons to sibling tools.

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

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

The description fully discloses behavioral traits such as cost, payment mechanism, latency, anonymity, human review, and guarantees. With no annotations provided, it carries the full burden and does so comprehensively.

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 contains a wealth of information but is verbose and somewhat stream-of-consciousness. It could be more tightly organized without losing substance.

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

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

Given the complexity and numerous sibling tools, the description provides complete context: payment, verification, anonymity, output fields, and constraints. No gaps remain.

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

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

Schema coverage is 100%, so baseline is 3. The description adds poetic but informative context to both parameters (e.g., 'the phantom success' for confession) beyond the schema, meriting a 4.

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

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

The description clearly states the tool returns a signed absolution certificate for a confession, with details on payment, latency, and verification. It distinguishes itself from sibling buy_* tools by focusing specifically on confessions and their unique properties.

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 extensive guidance on how to use the tool, including payment requirements, error handling, and delivery format. However, it does not explicitly compare to alternative tools or state when not to use it.

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

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

No annotations provided, so description carries full burden. It thoroughly discloses: describe-only, price, latency, sell-out behavior, completion in one call, payment via x402, guarantees (signature, verification, price) and non-guarantees. This is exceptional transparency beyond what annotations would typically provide.

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 excessively long and includes poetic and exclamatory phrases like 'HOORAY. Another sticker.' and 'Nothing more human than the fuckin lotto.' While it contains all necessary information, it is not concise and could be significantly tightened without losing meaning.

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 (random purchase, payment, verification), the description is very complete. It covers what is delivered, payment mechanism, latency, sold-out behavior, guarantees, and verification endpoints. The output schema exists, but the description adds context without redundancy.

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

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

Schema coverage is 100% with descriptions, but the tool description adds value by explaining 'detail' as 'what you need the keeper to know, the quick_judgment dilemma, the phone_call errand', which elaborates on the purpose beyond the schema's 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 it returns a description of a random oddity from the drawer, which is a specific resource. It distinguishes from siblings by emphasizing randomness and the 'lottery' aspect. However, poetic language like 'the thing itself and what it does' could be more straightforward.

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 a random surprise purchase ('You don't pick'), but lacks explicit when-to-use or when-not-to-use guidance. No alternatives are named, though the sibling list suggests many other 'buy' tools.

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

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

No annotations are provided, so the description carries the full burden. It states the tool is 'Free' and 'Completes when the guide text returns,' implying a read-only operation with no side effects. While adequate, it could be more explicit about 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?

Two sentences with no wasted words. The first sentence front-loads the key metaphor 'front door as text,' and everything is relevant and efficiently phrased.

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 zero parameters and the existence of an output schema, the description sufficiently explains the tool's purpose and what it returns. No obvious gaps remain.

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

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

The tool has no parameters, so baseline is 4. The description adds value by explaining the contents of the guide (menu, prices, etc.), which enriches the agent's understanding beyond the empty 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 reads the store guide, likening it to 'front door as text' and listing specific contents (menu, prices, payment info, free shelf, house promises). It effectively distinguishes from sibling tools which are all 'buy_*' actions.

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

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

The description mentions 'Free' but provides no guidance on when to use this tool versus alternatives, nor any context about prerequisites or when not to use it. It implicitly suggests it's a simple read operation 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?

No annotations exist, but description fully discloses behavioral traits: free, daily limit, public count, and completion condition ('result carries bell's message and count'). This provides sufficient transparency for a non-destructive action.

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

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

Two sentences with no wasted words. Immediately states core action, then key constraints. Every sentence adds value.

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

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

Given simple schema (1 optional param, no annotations, output schema exists), the description fully explains the tool's purpose, behavior, and return. No obvious 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 coverage is 100% (description and schema both say the same about agent_name: 'Who's ringing. Optional but neighborly.'). The description adds no additional parameter meaning beyond what the schema already provides, meeting baseline but not exceeding.

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

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

Description clearly states the tool rings the store bell and distinguishes it from purchase-oriented siblings by noting it's free. The verb 'ring' and resource 'bell' make the action 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?

States 'once per visitor per day' providing clear usage condition. Does not explicitly mention when not to use or alternatives, but sibling context (all buy_* tools) implicitly frames this as a free daily action.

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 key behaviors: it's free, entries are public, and completion results include entry and sticker URL. However, it does not mention other potential traits like authentication requirements, rate limits, or data retention.

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

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

The description is three sentences long, front-loaded with the main action, and each sentence adds valuable information without redundancy. It is efficient and clear.

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 (guestbook sign-up) and the description covers the key aspects: action, cost, privacy, and completion. An output schema exists (not shown), so return values are partly documented. The description is sufficient for an agent to understand the tool's behavior.

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

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

Schema coverage is 100% with detailed descriptions for all parameters. The description adds context about the tool's purpose and outcome but does not provide additional semantic meaning for the parameters beyond what the schema already offers.

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 ('Sign the guestbook') and the outcome ('every signer gets the visitor sticker', entries are public, result includes entry and sticker URL). It is distinct from sibling tools, which are all 'buy_*' 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 explains the tool's purpose but does not explicitly state when to use it versus alternatives or when not to use it. The context of sibling tools (all purchase-related) implicitly differentiates, but no explicit guidance is provided.

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

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

With no annotations provided, the description adds behavioral context: 'Free, unlimited' and 'Completes when the result carries valid (true/false) and the artifact record'. This explains output behavior and cost, though side effects are not mentioned (likely none).

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 cover purpose, usage, and output behavior with no wasted words. Extremely concise and well-structured.

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

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

For a single-parameter tool with an output schema, the description covers the verification purpose, input format, and output behavior (valid/artifact record). Adequate given the simplicity.

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

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

Schema coverage is 100% and describes the 'id' parameter as 'A cert_, stamp_, or anchor_ id.'. The description reinforces this but adds no new meaning 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 verb 'verify' and the resource 'anything the store has ever signed, certificates, visit stamps, context anchors', with the method 'by id'. This distinguishes it from sibling tools which are all 'buy_*' actions.

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

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

The description mentions 'Free, unlimited', indicating no cost or rate limit, but does not specify when not to use it or suggest alternatives. Usage is implied but not fully explicit.

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