Kit Lite

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

With no annotations, the description carries the full transparency burden and only discloses the price, network, protocol, and instant delivery claim. It omits what happens after payment, whether wallet setup is needed, what the received output is, and whether the transaction is reversible, which is important for a paid action.

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

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

The description is two brief sentences with no filler. The payment facts are front-loaded, and only the slightly vague 'agent-monetization intel pack' phrase adds product context without clutter.

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 financial transaction with no annotations and no output schema, the description is incomplete. Missing details include the delivery mechanism, return value, prerequisites, and what exactly the 'intel pack' contains, all of which matter for an agent invoking a paid operation.

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

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

The input schema has zero parameters, so there is no parameter meaning for the description to add. The baseline of 4 applies, and the description does not need to compensate for any 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 uses a specific verb ('Pay') and a specific resource ('intel pack'), while adding concrete details like the price, network, and payment protocol. It does not explicitly contrast with sibling tools, but the product term 'intel pack' differentiates it from buy_job_ticket, buy_kit_lite, and buy_spend_gov.

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

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

There is no guidance about when to use this tool versus the sibling purchase tools. An agent cannot determine whether to call buy_intel_pack, buy_job_ticket, buy_kit_lite, or buy_spend_gov based on the description alone.

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

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

With no annotations, the description carries the behavioral disclosure burden. It usefully reveals the exact payment amount, network, protocol, and that it is instant and operator-authorized. However, it does not clarify whether this executes a real financial transaction, what outputs are returned, or what 'operator-authorized' requires.

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

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

The description is brief and front-loads the key payment details, but the trailing clause 'schema plus example' is vague and adds little clarity. It is concise but not fully structured for practical use.

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 payment-related tool with no annotations, no output schema, and an undocumented required-looking parameter, the description is incomplete. It fails to explain what a job ticket schema is, what the agent should put in 'goal', or what happens after payment.

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 parameter 'goal' has 0% schema description coverage and is not mentioned anywhere in the description. The description provides no meaning for what the agent should supply in the goal field, leaving the parameter effectively undocumented.

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

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

The description states a specific action and resource: paying 15 USDC on Base via x402 to receive an operator-authorized job ticket schema. This distinguishes it from sibling tools like buy_intel_pack or buy_kit_lite, though the phrase 'schema plus example' is somewhat opaque.

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

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

There is no guidance on when to use this tool versus the sibling buy_* tools or get_quote. The description implies it is for a job ticket purchase, but it does not state conditions, prerequisites, or alternatives.

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

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

With no annotations, the description carries the full burden and clearly discloses that this is a paid transaction (9 USDC on Base), the expected output, and the 'no human' automated nature. It omits details like failure/refund behavior, but the core behavioral traits are present.

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

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

Three terse sentences front-load the essential transaction details, cost, network, output, and automation level. There is no filler or repetition.

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

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

The core transaction and deliverable are described, but the tool lacks output schema, annotations, and usage guidance. An agent still doesn't know what agentName is for, when to pick this pack, or what failure states look like, so completeness is only average.

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 0% and the description never mentions agentName or the fact that additional properties are allowed. The single parameter's role must be inferred entirely from its name, so the description adds no parameter 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 states a specific action ('Pay 9 USDC on Base via x402') and explicitly lists what is delivered ('spend caps, AUP stub, 402 test'). This distinguishes its purpose from the sibling buy_* tools by price and deliverable, though it doesn't name a sibling directly.

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 choose this over buy_intel_pack, buy_job_ticket, or buy_spend_gov. 'No human' hints that it is suitable for autonomous use, but there is no explicit context, prerequisite, or exclusion.

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

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

With no annotations, the description carries full responsibility for behavioral disclosure. It transparently specifies that this is a payment of 19 USDC, the network (Base), the protocol (x402), and that no CAPTCHA is involved, which is useful operational context. It stops short of detailing reversibility, authentication requirements, or post-payment effects, so it is not a perfect score.

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

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

The description is three short, front-loaded sentences with no filler. Every sentence contributes essential information: the payment action, the product features, and a notable behavioral detail (no CAPTCHA). It is efficiently structured 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?

While the description covers the purpose and cost, it leaves critical gaps: the meaning of 'agentName' is unexplained, there is no output schema or return-value information, and the implications of the spend-governance features are only listed, not clarified. An agent would likely struggle to make a correct call with full confidence.

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, 'agentName', with no description and 0% schema description coverage. The tool description does not mention or explain this parameter at all, so an agent cannot determine what value to pass or whether it is required. The description adds zero semantic value for 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 action ('Pay'), the exact amount and network ('19 USDC on Base via x402'), and the specific product ('Spend-governance pack: caps, kill switch, purpose gate'). This distinguishes it from sibling purchase tools like buy_intel_pack or buy_kit_lite, making its 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 implies when to use this tool—when a spend-governance pack with caps, kill switch, and purpose gate is desired—but it does not explicitly contrast it with alternatives or state when not to use it. There is no direct mention of sibling tools or exclusions, leaving the selection logic to the agent's inference.

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

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

No annotations are provided, so the description must carry the full behavioral burden. It discloses that the call is free and points to a paid alternative, but it says nothing about authentication, rate limits, side effects, or the shape of the returned quote.

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

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

The description is short, but the second and third fragments are syntactically broken and rely on unexplained jargon ('unpaid-fetch,' 'the probe') plus an inline install URL. The clear part ('Free quote only') is front-loaded, but the remaining text does not read cleanly or earn its place for selection.

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

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

For a zero-parameter tool with no output schema and no annotations, the description should at least explain what a quote is and what it returns. It does neither, and the mention of an install URL for a separate paid flow adds confusion rather than 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 tool takes zero parameters, so there is no parameter information for the description to add. Per the rubric, a zero-parameter schema warrants a baseline of 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 states 'Free quote only,' which gives a resource (quote) and a distinguishing condition (free), and it contrasts with the sibling token_snapshot. However, it never says what a quote contains or what domain it covers, leaving the purpose vague beyond the name and cost distinction.

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

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

It names an alternative (token_snapshot) and a condition (paying agents), and adds an exclusion ('Not the probe,' though 'probe' is not a listed sibling). The garbled phrasing 'Paying agents unpaid-fetch token_snapshot $0.02' makes the routing condition ambiguous, so the guidance is only partially actionable.

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

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

With no annotations provided, the description carries the full behavioral burden. It does disclose a genuinely useful trait: that invocation costs 0.02 USDC on Base via x402, which is not in the schema. However 'Body back' and 'The unpaid probe' are cryptic fragments that never clearly state what an unpaid call returns, what the payment error looks like, or whether the price endpoint requires auth. Partial behavioral disclosure, poorly articulated.

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?

It is short and front-loads the payment cost, which is good. But it is delivered as four terse fragments where 'Body back' and 'The unpaid probe' are ambiguous and do not clearly earn their place. Concise in length but low in 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?

There is no output schema and no annotations, so the description must be self-sufficient for a paid API call. It states the price and that a 'body' is returned, but never explains the return shape, the x402 payment flow, or what the unpaid probe yields. For a payment-gated tool the description is too thin to call correctly.

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

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

Schema description coverage is 100%, so the address parameter and its USDC default are already fully documented in the schema. The description adds nothing about the address parameter, so the baseline 3 for schema-covered parameters 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 phrase 'Public Base token price snapshot' conveys a resource and implied read action, and 'Pay 0.02 USDC on Base via x402' identifies it as a paid endpoint. However the core purpose is largely a restatement of the name 'token_snapshot', and there is no differentiation from the sibling get_quote, which is also a read-style tool. The fragments 'Body back' and 'The unpaid probe' add noise rather than sharpen purpose.

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

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

There is no explicit statement of when to use this tool versus the many buy_* siblings or get_quote. 'The unpaid probe' hints at some free/unpaid mode but the condition is left entirely to inference. An agent cannot confidently decide between this and get_quote from the text.

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