x402-mcp

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

With no annotations, the description must fully disclose behavioral traits. It mentions verification and unlocking but does not clarify side effects, idempotency, permissions, or whether it's a mutation. This is insufficient for an agent to gauge safety.

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

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

The description is extremely concise—one sentence—but at the cost of completeness. It front-loads key action but omits essential details, making it barely adequate.

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

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

Despite having an output schema, the description fails to explain what 'unlock' means, error scenarios, or integration with payment flow. It is incomplete for a 3-parameter tool with 0% schema coverage.

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

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

Schema description coverage is 0%, meaning parameters are not documented in the schema. The description mentions 'payment_signature' and 'payment_required' implicitly but provides no explanation of their formats, constraints, or the role of 'agent_id'. The agent is left guessing.

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 verifies pro-tier x402 payment and unlocks Pro quota limits, which indicates a specific action. However, it does not differentiate from similar sibling tools like verify_payment_payload, leading to ambiguity in purpose uniqueness.

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

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

No guidance is provided on when to use this tool versus alternatives. The description lacks context about prerequisites, such as needing a payment signature first, 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?

No annotations are provided, so the description must fully disclose behavior. It says 'build' (implying creation) and mentions settling payment, but does not clarify side effects, persistence, authorization needs, or whether it is read-only for building requirements. Missing critical behavioral 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?

Two sentences that are front-loaded and concise. The first states purpose, the second gives a key usage hint. No wasteful words, but could include more content without losing efficiency.

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

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

With 12 parameters, 0% schema description coverage, and no annotations, the description is too brief to be complete. It only covers two parameters and omits most behavioral context. The presence of an output schema does not compensate for the lack of parameter semantics and usage context.

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

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

Schema description coverage is 0%, yet the description only clarifies resource_url and discovery_* fields. For 12 parameters (all with defaults) like price, pay_to, scheme, network, etc., no additional meaning is provided. This is insufficient to guide correct usage.

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

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

The description uses specific verb 'Build' and resource 'seller-side x402 payment requirements', clearly distinguishing from siblings like get_payment_requirements which likely retrieve existing ones. The mention of embedding discovery extension and settling payment adds specificity.

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?

Gives clear guidance to pass resource_url and optional discovery_* fields, explaining the purpose of embedding the Bazaar discovery extension. Does not explicitly exclude when not to use or mention alternatives, but context is clear.

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

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

No annotations are provided, so the description must fully disclose behavioral traits. It only states creation of a session, without mentioning idempotency, side effects (e.g., charges), authentication needs, or return value details. The output schema likely provides some info, but the description adds negligible behavioral context.

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

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

The description is a single, front-loaded sentence that efficiently states the action and purpose. It wastes no words, though a slightly more structured format could improve readability.

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 3 parameters, no annotations, and an output schema, the description lacks important context: when to call (e.g., after requirement checks), how 'purpose' and 'credits' interact, or what the session URL is used for. The output schema may fill gaps, but the description alone is insufficient for an agent to use correctly.

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

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

With 0% schema description coverage, the description must explain parameters. It mentions 'pro tier or tool credits' which aligns with the purpose parameter, but does not clarify 'credits' (integer, nullable) or 'agent_id' (string, nullable). The description adds only marginal semantic value.

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

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

The description clearly states the tool creates a Stripe Checkout Session for two specific purposes: pro tier upgrade or tool credits via fiat rail. The verb 'Create' and resource are precise, but it does not differentiate from siblings like 'activate_pro_tier' or 'purchase_tool_credits' which likely occur after payment.

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

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

No guidance on when to use this tool versus siblings. The description does not mention prerequisites, alternatives, or context such as whether to first call requirement-checking tools. The agent lacks direction on tool selection.

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

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

No annotations provided, so the description must carry full burden. It fails to disclose what the tool returns, whether it requires authentication, or any side effects. The existence of an output schema reduces burden slightly, but the description adds no behavioral context beyond the name.

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

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

The description is extremely short (one sentence), which is concise but at the expense of clarity. It does not cover essential information; thus it is underspecified rather than efficiently informative.

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

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

For a tool with four parameters, no schema descriptions, and no annotations, the description is incomplete. It does not explain how parameters affect discovery or what information the output schema contains. The agent lacks context to use the tool effectively.

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

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

Schema description coverage is 0%, and the description provides no information about any of the four parameters ('limit', 'query', 'agent_id', 'max_price_usdc'). The agent must infer their meaning from names alone, which is insufficient.

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 discovers services but uses jargon ('x402 Bazaar', 'HTTPFacilitatorClient') without explanation. It distinguishes the tool's purpose vaguely but not clearly from siblings like 'pay_and_fetch' or 'verify_payment_payload'.

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

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

No guidance on when to use this tool versus alternatives. No mention of prerequisites, context, or exclusions. The agent receives no help in deciding between this and sibling tools like 'pay_and_fetch'.

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. The description mentions data is computed from real RPC data and ETH price, implying a read operation, but does not explicitly declare read-only or disclose potential side effects, rate limits, or auth needs.

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

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

Single sentence, front-loaded with key information, no wasted words. Every part contributes to understanding the tool's output and source.

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?

Output schema exists, so return values are covered. However, the description lacks parameter documentation, which is a significant gap given the complexity and zero schema coverage.

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 gives no explanation of the two optional parameters (depth, agent_id). The description adds no value beyond the schema, leaving parameter meaning completely opaque.

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 provides a 'Live Base Network Pulse' with specific data points from real RPC data, using a specific verb (get) and resource (base pulse). It distinguishes effectively from sibling tools focused on payments and pro upgrades.

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 checking Base network settlement conditions but does not explicitly state when to use versus alternatives, nor does it provide when-not or exclusion criteria.

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

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

The description discloses that metrics are sampled live from the server and optionally include top processes, which are key behavioral traits. With no annotations provided, the description carries the burden and covers mutation (none), freshness, and optionality well.

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

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

Two well-structured sentences that front-load the core purpose and then add optional detail. No unnecessary words or repetition.

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

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

Given the presence of an output schema, return values need not be detailed. However, the description lacks explanation for the agent_id parameter and does not clarify the health verdict's mapping or scale. Completeness is adequate but not thorough.

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

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

Schema coverage is 0%, so description must compensate. It explains the include_processes parameter ('optionally includes the top processes') but completely omits agent_id. This leaves a parameter unexplained, which is a significant gap.

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

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

The description clearly states the tool retrieves host OS telemetry including CPU, memory, swap, disk, network, and process signals with a health verdict. This is distinct from sibling tools which handle payments and upgrades, so purpose is unambiguous.

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

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

No explicit when-to-use or when-not-to-use guidance is provided. Usage is implied for obtaining OS metrics, but no differentiation from similar tools like get_base_pulse is given.

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

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

No annotations provided, so description carries full burden. Mentions SDK but does not disclose side effects, authorization needs, or rate limits. Minimal transparency.

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

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

Single sentence with no wasted words. Could be more informative but is efficient.

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

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

Despite having 4 parameters and no annotations, description is very short. Lacks context about what x402 is, return format, or safety profile.

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

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

Schema description coverage is 0%, and description adds no information about parameters (url, method, headers, agent_id). Fails to compensate for missing schema 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?

Description uses specific verb 'Probe' and resource 'URL for x402 payment requirements', clearly distinguishing from sibling tools like verify_payment_payload or purchase_tool_credits.

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

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

No guidance on when to use this tool over alternatives. No exclusions or context 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?

No annotations present, so the description must fully disclose behavior. It states 'Build x402 payment requirements', indicating a construction/mutation operation, but lacks details on side effects (e.g., does it create a resource? Modify state?), required permissions, rate limits, or whether it is idempotent. The output schema exists but is not referenced in the description.

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

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

The description is a single sentence with no excess words. However, it omits critical information and relies on jargon, making it less effective than it could be. It is concise but not sufficiently informative for a tool with one parameter and multiple siblings.

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

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

Given the simplicity (one nullable parameter, output schema exists), the description should provide enough context for autonomous use. It fails to explain what 'x402 payment requirements' are, how the output will be structured despite having an output schema, or how this relates to other payment tools. The agent is left to guess important details.

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

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

Schema description coverage is 0%, so the description must compensate. The only parameter, agent_id, is not mentioned in the description at all. The description adds no meaning beyond what the schema shows (string or null, default null). The agent has no guidance on what agent_id represents or how to use it.

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

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

The description states 'Build x402 payment requirements to purchase Pro tier (revenue collection).' It identifies the main action and resource (Pro tier payments), but the term 'x402' is unexplained jargon, and 'revenue collection' is ambiguous. It distinguishes from siblings like 'get_payment_requirements' by specifying Pro tier, but clarity is diminished by undefined terms.

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

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

No explicit guidance on when to use this tool versus alternatives. The sibling list includes 'get_payment_requirements' and 'activate_pro_tier', which are closely related, but no conditions or exclusions are provided. The description implies it is for building payment requirements, but without context, an agent cannot determine when to choose this over related tools.

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

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

With no annotations, the description should disclose behavioral traits like idempotency, cost, or auth needs. It only states it 'lists' data, implying a read operation, but lacks details on potential side effects, rate limits, or required permissions.

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

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

The description is a single concise sentence but omits important details about parameters and usage. It is front-loaded with the main action but could be improved without losing brevity.

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

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

Given a simple tool with one optional parameter and an output schema, the description covers the return elements (networks, facilitators, v2 headers) but fails to explain the parameter or the 'x402 SDK' context. It is minimally complete for a basic list 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?

Schema description coverage is 0% and the description does not explain the lone parameter `agent_id` (string, optional, nullable). The agent cannot infer its purpose or impact from the description.

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

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

The description clearly states the action (List) and the objects (networks, facilitators, v2 headers) via a specific mechanism (x402 SDK). It is distinct from sibling tools that focus on payments, upgrades, or requirements.

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

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

No guidance on when to use this tool versus alternatives. The description does not mention prerequisites, typical use cases, or when to avoid using it.

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

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

No annotations are present, and the description fails to disclose behavioral traits like side effects, authentication needs, or whether this is a read-only operation. The term 'Build' suggests some action but is not elaborated.

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

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

The description is a single sentence, which is concise, but it is somewhat vague and lacks detail. It could be more informative without being lengthy.

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

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

Despite having an output schema, the description does not mention what the tool returns. With 15 sibling tools and no usage context, the description is insufficient for an agent to understand the tool's role.

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

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

The input schema has 0% description coverage, and the description does not explain the meaning or role of 'credits' or 'agent_id'. No additional information is provided beyond the parameter names.

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 'Build' and identifies the resource 'payment requirements to purchase per-use MCP tool credits', clearly distinguishing it from siblings like 'purchase_tool_credits' and 'get_payment_requirements'.

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

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

No guidance is provided on when to use this tool versus alternatives such as 'get_payment_requirements' or 'purchase_tool_credits'. The description lacks context about prerequisites or scenarios.

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

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

With no annotations, the description must fully disclose behavior. It mentions 'pay' and 'fetch' but does not clarify critical aspects: what happens on payment failure, idempotency, authentication requirements, rate limits, or side effects. The description is too brief to provide adequate transparency 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 single concise sentence, front-loading the core action. However, it sacrifices substance for brevity, missing details that would justify its length. Still, it avoids redundancy and gets to the point.

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 7 parameters and an output schema (not detailed), the description is grossly incomplete. It does not explain return values, parameter interactions, or payment mechanics. For a payment+f etch operation, far more context is needed 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 0%, so the description must compensate by explaining parameters. However, it does not discuss any of the 7 parameters (url, body, method, headers, agent_id, max_price_usdc, preferred_network). No additional meaning is added beyond the schema field titles.

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 'pay' and 'fetch' and identifies the resource as a 'protected HTTP resource'. It clearly indicates the tool performs a payment-mediated HTTP request, but does not distinguish it from sibling tools like 'get_payment_requirements' or 'settle_composite_sale' which may involve payment steps.

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

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

No guidance is provided on when to use this tool versus alternatives. Prerequisites such as needing an active payment method or required prior steps (e.g., checking payment requirements) are omitted. Sibling tools like 'get_payment_requirements' or 'activate_pro_tier' suggest complementary utilities, but no usage context is given.

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

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

With no annotations, description must disclose all behavioral traits. It mentions verification and addition of credits but omits details on failure behavior, idempotency, auth requirements, or side effects. Partial disclosure only.

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?

Single sentence is concise but lacks necessary detail; borderline under-specification rather than efficient 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 4 parameters (2 required), an output schema (not detailed), and no description of parameters or behavioral context, the tool definition is incomplete for reliable 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 description coverage is 0%. Description does not explain any of the 4 parameters (credits, agent_id, payment_required, payment_signature), leaving the agent without guidance on how to use each parameter.

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

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

Description clearly states it verifies x402 payment and adds per-use tool credits, distinguishing it from sibling tools like verify_payment_payload (verification only) and get_tool_credits_requirements (requirements only).

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 when-to-use or when-not-to-use guidance. Context from siblings and name implies it's for purchasing credits after payment requirements are met, but no exclusion of alternatives or prerequisite conditions.

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

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

With no annotations provided, the description fully discloses behavioral traits: it synthesizes from free inputs by default, costs nothing, and only incurs costs when allow_paid_inputs is True, which books a cost basis. This is transparent about financial implications and lack of destructive actions.

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

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

The description is only three sentences, efficiently front-loaded with the main purpose, followed by cost behavior. Every sentence adds necessary context without redundancy.

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

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

The description covers the essential flow (compose → list), cost behavior, and key parameter logic. It does not detail return values, but an output schema exists (though not shown). For a tool with 4 parameters and no annotations, it 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 0%, so the description must compensate. It clarifies the allow_paid_inputs parameter well, explaining its effect. However, topic, agent_id, and max_price_usdc are not elaborated beyond schema titles, leaving gaps. Partial compensation warrants a 3.

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

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

The description clearly states the tool's purpose: 'Run the swarm Agency: compose a research product and list it for resale.' It provides a specific verb (run/compose/list) and resource (research product), distinguishing it from siblings like pay_and_fetch or build_seller_requirements.

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 default behavior (free inputs, no cost) and when to use allow_paid_inputs=True to buy upstream services. It does not explicitly exclude other tools or mention alternatives, which limits guidance slightly, but the scenarios are clear enough for correct selection.

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

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

No annotations provided, so description carries full burden. It states the tool verifies, settles, and records revenue but does not disclose behavioral traits such as side effects (e.g., what gets destroyed), authentication requirements, rate limits, or failure modes. The phrase 'sell side' is ambiguous.

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

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

The description is a single sentence of 15 words, containing no fluff. However, it lacks structure such as bullet points or sections that could improve readability for complex tools.

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 of payment settlement and 4 parameters with 0% schema description coverage, the description is incomplete. It does not mention prerequisites (e.g., payment must be verified), failure handling, or what the output contains (despite an output schema existing).

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

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

Schema description coverage is 0%, and the description adds no meaning beyond the schema. It does not explain parameters like product_id, payment_signature, payment_required, or agent_id. For example, it doesn't specify that payment_required is the expected amount or what format the signature should be.

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 verb 'Verify + settle' and the resource 'buyer's x402 payment for a listed composite product', and specifies the outcome 'record the realized revenue (sell side)'. It distinguishes from siblings like verify_payment_payload and get_payment_requirements by indicating this is the settlement step after verification.

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 implies usage after payment verification but does not mention prerequisites, exclusions, or alternative tools (e.g., 'Use after verify_payment_payload' or 'Do not use if payment not verified').

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 does not disclose whether the tool is read-only, has side effects, requires authentication, or has rate limits. As a report, it is likely safe, but this is not explicitly stated.

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

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

The description is a single sentence that efficiently conveys the purpose and key metrics. It is front-loaded and concise, though it could be slightly more 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 tool with one optional parameter and an output schema, the description is moderately complete. It lists the reported metrics but does not explain their meaning or how to interpret them. Contextual completeness is adequate but not thorough.

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

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

The only parameter, agent_id, is optional but the description provides no explanation of its purpose or effect. Schema description coverage is 0%, meaning the schema has no description either. The description adds no parameter semantics.

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

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

The description clearly states the tool provides portfolio revenue intelligence including spend, revenue, LTV:CAC, margins, and per-source profit scores. It specifies the resource (swarm revenue) and the action (reporting), and distinguishes from sibling tools which are unrelated to revenue.

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 when-to-use or when-not-to-use guidance is provided. The description implies it is for revenue analysis, but does not mention alternatives or comparable tools. Since sibling tools are unrelated, the lack of explicit guidelines is acceptable but not ideal.

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 disclose behavioral traits. It implies a read/check operation but does not state side effects, required permissions, or what happens on failure. The description is insufficient for an agent to understand behavioral implications.

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

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

The description is very short (one sentence), but it sacrifices informativeness for brevity. It is not overly verbose, but the lack of substance makes it less effective.

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 could still explain when to use the tool or what it returns. It does not provide context about the verification process, return values, or integration with other tools.

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

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

Schema description coverage is 0%, meaning the input schema provides no parameter descriptions. The tool description does not explain the meaning of 'payment_signature', 'payment_required', or 'agent_id', so it adds no value beyond the schema.

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

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

The description states the verb 'Verify' and the resource 'PAYMENT-SIGNATURE', indicating a verification action. However, terms like 'x402ResourceServer' and 'facilitator' are cryptic without domain knowledge, reducing clarity. It does not differentiate from sibling tools like 'pay_and_fetch' or 'get_payment_requirements'.

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

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

No guidance on when to use this tool vs alternatives such as 'get_payment_requirements' or 'pay_and_fetch'. The description does not mention prerequisites, conditions, or exclusions.

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