Wisely x402 Agent-Payment Infrastructure

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

Annotations are empty, so description must fully disclose behavioral traits. It does not mention effects, idempotency, auth requirements, side effects, or anything beyond being an alias. No safety profile is conveyed.

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

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

The description is two sentences, concise and front-loaded. Every sentence earns its place, though it could be more informative for the complexity of the tool.

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

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

Given 43 parameters, no output schema, and no annotations, the description is grossly incomplete. It provides no information about return values, behavior, or how to use the many input fields.

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

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

Schema description coverage is only 33% with 43 parameters, and the tool description adds no parameter-level information. The description does not compensate for the low schema coverage.

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

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

Description clearly states it is a 'Generic alias for start_here' and is 'useful for agents and probes looking for instructions before using paid tools'. The purpose is reasonably clear, but the alias relationship could be better 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?

No guidance on when to use this vs alternatives such as start_here, get_playbook, or wisely_start_here. The description implies it's for gathering instructions before paid tools, but lacks explicit when-not or differentiation.

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

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

With no annotations, the description carries the full burden. It states returns a hosted signing URL, but lacks detail on side effects, authentication needs, or error states. For a tool with 43 parameters, more behavioral context would be helpful.

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

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

The description is a single, clear sentence with no wasted words. However, given the complexity (43 params), it could be slightly expanded without losing 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?

Despite being a simple alias, the tool has many parameters and no output schema or annotations. The description does not provide enough context to use the tool effectively, especially regarding parameter usage and expected output.

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

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

Schema description coverage is only 33%, and the tool description does not add any parameter-specific guidance. It fails to compensate for the low coverage by explaining how parameters relate to the tool's function.

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 is a plain-English alias for x402_wallet_handoff, specifically for when a user asks how to connect a wallet for Wisely x402 payments. It specifies the return value (hosted signing URL with wallet-app links and provider selection), providing a precise and differentiated 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?

The description explicitly says 'Use when a user asks how to connect a wallet...' which provides clear context for invocation. However, it does not explain when not to use it or how it differs from the original x402_wallet_handoff, leaving some ambiguity.

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

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

With no annotations, the description carries the full burden of behavioral transparency. It only says it's an alias for install_skill, offering no details about side effects, authorization needs, or operational behavior. The agent cannot infer what happens when the tool is invoked.

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, achieving high conciseness. It front-loads the purpose effectively. However, it omits necessary details about parameters and behavior, so it is slightly too minimal for a tool with a complex schema.

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

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

Given the tool's complexity (43 parameters, no output schema, no annotations), the description is severely incomplete. It does not help the agent understand what inputs are needed, what the return value is, or how the alias relates to install_skill beyond the name.

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 43 parameters with only 33% description coverage, yet the description adds no parameter meaning whatsoever. It does not explain which parameters are relevant for this alias or how they map to install_skill. The description fails to compensate for the low schema coverage.

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

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

The description clearly states it is an alias for install_skill and specifies the use case: when users ask to download, install, or add Wisely abilities without ClawMart. This provides a specific verb-resource pairing and distinguishes from the sibling tool install_skill.

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

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

The description explicitly states when to use this tool ('when an agent or user asks how to download, install, or add...'), providing clear context. It implies that for other scenarios, install_skill or other tools should be used, but does not give explicit exclusions 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 empty annotations, the description should disclose behavior, but it provides no information about side effects, return values, or whether it is read-only or mutating. It merely calls itself an alias, leaving the agent completely uninformed 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 overly concise to the point of being uninformative. While it is short, it lacks essential content and does not effectively front-load critical 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 (43 parameters, no output schema, no annotations), the description is severely incomplete. It does not explain the concept of a playbook, return values, or how to use the parameters, making it inadequate for an agent to 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?

The description adds no parameter information despite a parameter count of 43 and schema coverage of only 33%. The schema includes descriptions for some parameters, but the tool description does not help an agent understand which parameters are relevant or how to use them.

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 is a 'Generic alias for start_here' and 'useful for agents and probes looking for an MCP server playbook,' indicating it provides a playbook. However, it doesn't explain what a playbook is or differentiate it from the original tool, making the purpose somewhat vague.

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

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

The description gives a usage context ('looking for an MCP server playbook') but offers no guidance on when to use this alias versus 'start_here' or other sibling tools, nor does it 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 must disclose behavioral traits. It mentions local signing and record saving but gives no details on side effects, permissions, rate limits, or what happens with the 43 parameters. Insufficient for a complex tool.

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

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

Two concise sentences that front-load the purpose and usage. No fluff. Could be expanded given complexity, but for pure conciseness it 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?

With 43 parameters, no output schema, and minimal schema descriptions, the description provides almost no guidance. An agent cannot determine proper usage beyond the high-level purpose. Seriously incomplete.

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

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

Schema description coverage is only 33%, but the description adds no information about any parameters. It does not explain how the many parameters relate to the crypto-to-gift-card flow. A baseline 3 would require compensation, which is absent.

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 is an alias for setup_local_wallet_bridge and specifies the use case: crypto-to-gift-card flows with local signing and local receipt/gift-card record saving. This differentiates it from related siblings like wallet_bridge_setup.

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?

Explicitly says when to use it: for crypto-to-gift-card flows with local signing. It implies the alternative is setup_local_wallet_bridge for other purposes. Could be more explicit about when not to use, but the 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?

Annotations are empty. The description claims it 'returns' data, implying a read operation, but the term 'install/download alias' could be interpreted as initiating an actual installation. There is no clarification on side effects, permissions required, or whether it simply generates install instructions versus performing an install.

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, but it crams multiple output items into a run-on list. While it avoids verbosity, the structure is not clearly organized (e.g., bullet points would 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 the tool's complexity (43 parameters, no output schema, empty annotations), the description is severely lacking. It does not explain parameter purpose, output format, or operational context, making it insufficient for an AI agent to use 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?

With 43 parameters and only 33% schema description coverage, the description adds no parameter-level meaning. It does not map any parameters to their role in the installation process, leaving the agent to rely solely on incomplete 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?

The description clearly states it is an install/download alias and lists the returned information types. However, it does not distinguish from sibling tools like download_skill or wisely_install_profile, which may have overlapping 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?

No explicit guidance on when to use this tool versus alternatives. The description does not mention prerequisites, typical use cases, or scenarios where other tools would be more appropriate.

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

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

With no annotations, the description carries the full burden of transparency. It only states it is an alias and lists use cases, but fails to disclose any behavioral traits such as side effects, permissions required, or what 'setup' entails. This is insufficient for an agent to understand the tool's impact.

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

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

The description is extremely concise, consisting of two sentences that front-load the key information (alias and use cases). There is no wasted text, and every word contributes to understanding.

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 (43 parameters, no output schema, empty annotations), the description is woefully incomplete. It does not explain what the setup does, parameter purposes, return values, or prerequisites, making it nearly unusable for an agent without additional context.

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

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

The description does not mention any parameters, and the schema coverage is only 33%, meaning many parameters lack descriptions. The tool has 43 parameters, and the description adds no meaning beyond the schema, leaving the agent with insufficient guidance to use them correctly.

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

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

The description clearly states it is an alias for wisely_local_commerce_bridge_setup and lists specific use cases (local browser, DoorDash, merchant checkout, user-owned session setup). However, it could be more specific about what the tool actually does beyond being an alias.

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 scenarios for when to use the tool (local browser, DoorDash, etc.), but it does not mention when not to use it or compare it with sibling tools like connect_wallet or x402_wallet_handoff. The alias relationship is noted but not elaborated.

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 carries full burden. It only states what is returned, but does not disclose behavioral traits like idempotency, side effects, or parameter relevance. The tool has 43 parameters with no indication of which are used.

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, concise and front-loaded with key outcomes. However, it sacrifices necessary detail for brevity.

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

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

Given 43 parameters, lack of output schema, and many siblings, the description is insufficient for correct tool selection and invocation. It omits parameter roles, return format, 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 coverage is only 33%, and the description adds no parameter meaning. Many parameters (e.g., amountUsd, network) seem unrelated to a readme. The description should clarify which parameters affect the output.

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 returns a 'MCP-native README/playbook summary' with specific content (docs, workflows, safety rules, next calls). However, it does not differentiate from siblings like 'get_playbook' or 'wisely_get_playbook', which likely serve similar purposes.

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

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

No guidance on when to use this tool versus alternatives. With many sibling tools that also return documentation, the description provides no context for 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?

With no annotations and a one-sentence description, the tool fails to disclose any behavioral traits. It does not mention side effects, permissions, rate limits, or what the setup entails beyond 'install'. Given the complexity (43 parameters), this is a critical gap.

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 severely underspecifies the tool. It front-loads the alias information but does not earn its place given the tool's complexity; more detail about how to use the parameters or what the tool achieves would be essential.

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

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

The tool has 43 parameters, no output schema, no annotations, and only a high-level description. It lacks essential details like return values, prerequisites, or step-by-step guidance, making it nearly impossible for an agent to use correctly without additional knowledge.

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

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

Schema description coverage is only 33%, and the description contains no parameter information at all. It adds no meaning beyond the schema, failing to explain the role of parameters like url, type, asset, etc. This is inadequate for effective tool invocation.

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 is an alias for wisely_local_commerce_bridge_setup and specifies the resource: 'install the localhost bridge for DoorDash, merchant checkout, local wallet signing, and local receipt/gift-card storage.' It identifies the verb and resources, distinguishing it as a plain-English alternative for the targeted tool, but does not explicitly differentiate from other bridge setup tools like local_browser_bridge_setup.

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 says 'Use when a ChatGPT/OpenClaw/Hermes-style agent needs to help the user install the localhost bridge...' providing clear context for when to use. However, it lacks explicit guidance on when not to use or alternatives; it simply positions itself as an alias, implying it is not the primary tool name.

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

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

With no annotations, the description must fully disclose behavior, but it only says 'Returns setup instructions.' It does not clarify whether the tool actually performs setup actions, what 'local wallet signing and proof storage' entails, or any side effects. It fails to explain what happens when invoked, despite 43 parameters suggesting complex 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 concise at three sentences, but it lacks necessary detail. It is not inefficiently wordy, but the brevity sacrifices completeness. The structure is adequate but the content is insufficient for the tool's complexity.

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

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

Given the tool's high complexity (43 parameters, no output schema, no annotations), the description is woefully incomplete. It does not describe return values, prerequisites, error handling, or what 'setup instructions' look like. It also does not address the vast number of sibling tools, leaving the agent without enough context to use it correctly.

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

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

The description adds no explanation of parameters. With schema coverage only 33%, the description should compensate for undocumented parameters, but it offers no parameter context. The description does not clarify which of the 43 parameters are relevant for this tool or how they relate to 'setup instructions'.

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 is an alias for wisely_local_commerce_bridge_setup focused on local wallet signing and proof storage, and explicitly lists the endpoints whose setup instructions are returned (wallet_open_signing_url, wallet_payment_session_status, local_vault_save, local_vault_list). This differentiates it from sibling tools like setup_local_commerce_bridge or wallet_bridge_setup by specifying the exact scope.

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

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

No guidance on when to use this tool versus alternatives. While it identifies itself as an alias for wisely_local_commerce_bridge_setup, it does not explain in what scenarios the local wallet bridge is appropriate or when to choose this over other bridge setup tools. Among many similar sibling tools (e.g., setup_local_commerce_bridge, wallet_bridge_setup), usage context is missing.

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 convey behavioral traits. It implies this is a safe read-only operation by stating it 'returns' information. However, it does not disclose any potential side effects, rate limits, or required permissions, leaving gaps in transparency.

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

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

Two sentences that front-load the critical usage instruction and succinctly list the output contents. Every sentence adds value with no waste.

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

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

Despite many sibling tools and a large parameter set, the description provides minimal context. It does not explain how the parameters affect the output or guide which to use. Given no output schema, the agent lacks enough context to call this tool effectively beyond the default invocation.

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

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

The input schema has 43 optional parameters with only 33% schema description coverage. The description adds no explanation for any parameter, leaving the agent to infer which parameters are relevant for this onboarding tool. This is insufficient for the schema's complexity.

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: 'Call this first after connecting' and lists the items it returns (playbook, rules, routing map, etc.). However, it does not differentiate from the sibling 'wisely_start_here', which appears to be a similar initialization tool.

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

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

The description explicitly instructs when to use the tool ('Call this first after connecting'), which is a strong usage guideline. It does not provide exclusions or alternatives, but for an initialization tool this is sufficient.

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?

Annotations are empty, so description carries full burden. It only says it's an alias and gives usage context, but does not disclose any behavioral traits like side effects, permissions, or what the actual setup entails. Minimal disclosure for a tool with no annotations.

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 that is concise and directly states the key facts. Every word is necessary and front-loaded.

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

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

With 43 parameters, no output schema, and no annotations, the description is extremely sparse. It does not explain what the tool actually does beyond being an alias, what parameters are critical, or what the return value is. Completely inadequate for the complexity.

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

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

Schema description coverage is only 33%, and the tool has 43 parameters. The description adds no information about any parameters, failing to compensate for the low coverage. The baseline would be higher if coverage were high, but here it 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?

Description explicitly states it is an alias for setup_local_wallet_bridge and specifies the exact use case: when the user wants wallet local while agent uses Wisely x402 payment sessions. This clearly identifies the tool's purpose and distinguishes it from siblings.

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

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

Provides explicit when-to-use context ('when the user wants their wallet to stay local while the agent uses Wisely x402 payment sessions'), but does not mention when not to use or explicitly name alternatives, though the context implies alternatives exist.

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

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

Annotations are empty, so the description must bear the full burden of behavioral disclosure. It only says 'returns concise instructions,' lacking details on side effects, rate limits, or response format. For a read-only tool, this is minimal but acceptable.

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 lacks structured information such as output format or parameter roles. It is not overly verbose but could be more informative without sacrificing 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 (43 optional parameters, no output schema, empty annotations), the description is severely incomplete. It fails to explain what the instructions contain, how to parameterize the call, or what to expect as a result.

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 43 parameters and only 33% schema description coverage, the description adds no parameter guidance. It does not explain which parameters are relevant or how they affect the instructions, leaving the agent with no additional context.

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 concise instructions for an AI agent regarding specific actions (quoting, paying, etc.). It also identifies itself as an alias for wisely_start_here, but its purpose is specific enough to be useful.

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 before certain actions, but it does not explicitly state when not to use it or mention alternatives. As an alias, the guidance is implicit, excluding no clear exclusions.

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

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

Annotations are absent, so the description must convey behavioral traits. It only states 'Search', implying read-only, but does not disclose safety, rate limits, pagination, or result format. With 43 parameters and no output schema, more behavioral context is needed.

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. However, given the tool's complexity (43 parameters, no output schema), it is too brief to be effective. It earns its place but lacks necessary structure for 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?

With no output schema and low parameter coverage, the description fails to provide completeness. It omits return value details, common usage patterns, and how results are structured. The tool's complexity demands a richer 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?

Schema description coverage is 33%, leaving many parameters undocumented. The description mentions only four filtering dimensions, failing to add meaning for the majority of parameters (e.g., asset, input, items, query). It does not compensate for the schema's low 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 verb 'Search' and the resource 'builder-owned endpoint events', and lists filtering criteria (time range, endpoint, type, receipt id). It is specific and distinguishes from sibling tools like x402_builder_events by specifying 'builder-owned' events, though it does not explicitly differentiate from similar tools.

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

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

No guidance on when to use this tool versus alternatives, such as x402_builder_events or other search tools. The description lacks context for appropriate usage scenarios or exclusions.

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

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

With empty annotations, the description must disclose behavioral traits. It correctly implies idempotent read-only behavior via 'Read', but lacks details on potential errors, rate limits, required permissions beyond the saved key, or pagination behavior. This is insufficient for safe invocation.

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 20 words, which is efficient and concise. However, it lacks front-loaded key information (e.g., no summary of prerequisites or return format). It earns points for brevity but loses some for structure.

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 high complexity (43 parameters, many siblings, no output schema), the description is severely incomplete. It does not explain which parameters are relevant, what the response structure looks like, or how to interpret the returned data. The agent cannot effectively invoke this tool based solely 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 description adds no meaning to input parameters. Schema coverage is only 33% (low), and the description does not list or explain any of the 43 parameters. The listed items (revenue, fees, etc.) appear to be output fields, not inputs. The agent receives no guidance on constructing valid requests.

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 revenue data (verb 'Read') and specifies what is read: endpoint revenue, fees, estimated payable balance, receipt IDs, and settlement notes. It also mentions the prerequisite 'with a saved builder key'. However, the existence of a sibling tool 'x402_builder_revenue' creates ambiguity about the exact differentiation, 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?

No explicit guidance on when to use this tool versus alternatives (e.g., x402_builder_payouts, x402_builder_revenue). The only hint is the prerequisite 'saved builder key', but no exclusion criteria or alternative suggestions are provided, leaving the agent unsure about context-appropriate 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?

Annotations are absent, so the description must disclose behavioral traits. The description indicates a read operation ('Read'), suggesting no destructive side effects, but it does not confirm read-only safety, mention authentication needs, rate limits, or what happens if the builder key is invalid.

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 wasted words. However, it lacks structure like bullet points or examples. The brevity is acceptable but could be more 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?

Given the high parameter count (43), low schema coverage, no output schema, and no annotations, the description is grossly incomplete. It does not explain what the tool returns, how parameters relate to the operation, or any usage context. A tool of this complexity needs a much richer 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?

Schema description coverage is only 33%, leaving many parameters unexplained. The description does not add any parameter details or clarify which parameters are relevant for this tool. With 43 parameters, this 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 states 'Read builder account and owned endpoint status with a saved builder key.' It uses a specific verb and resource, and distinguishes from siblings like 'wisely_builder_events' and 'wisely_builder_revenue' by focusing on status. However, it could be more precise about what 'status' entails.

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. It does not mention prerequisites like requiring a saved builder key, or when it is appropriate to call this tool. Sibling tools are not compared.

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 a key behavioral trait: paid items return a paid endpoint URL and payment instructions instead of protected content. However, with no annotations, more detail is needed about side effects, auth requirements, or idempotency. The description adds some value beyond the name but is incomplete.

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

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

The description is a single sentence that front-loads the key purpose and behavior distinction. It is extremely concise with no wasted words.

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

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

Given the high parameter count (43), empty annotations, and no output schema, the description is too brief. It only addresses paid items but ignores return format, required inputs, error handling, and other critical context needed for an AI agent 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 low (33%), and the tool description adds no information about the 43 parameters. It fails to compensate for the schema gaps by explaining which parameters are relevant for fetching or how they affect the operation.

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

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

The description clearly states the action (Fetch) and the resource (creator catalog item), and distinguishes behavior for paid vs free items. This is a specific verb+resource with differentiation from sibling tools like list, search, and recommend.

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

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

The description provides no guidance on when to use this tool versus its siblings (e.g., list, search, recommend). No explicit when/when-not or alternative 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, the description carries full responsibility for behavioral disclosure. It only says 'list public creator catalogs' without details on authentication, pagination, rate limits, or data volume. The operation is implicitly read-only, but no explicit confirmation is given.

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

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

The description is a single, short sentence that gets to the point immediately. It is concise and avoids fluff, but the brevity sacrifices necessary detail for such a complex tool.

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

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

Given the tool's complexity (43 parameters, no output schema, nested objects), the description is severely lacking. It does not explain how to use the parameters, what the response structure is, or any constraints. This is completely inadequate for effective 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?

The description does not mention any parameters, and schema description coverage is only 33%, meaning many parameters are undocumented. With 43 optional parameters, the description should compensate but fails to provide any additional 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 action ('List') and the resource ('public creator catalogs'), and specifies the contents (lessons, worksheets, paid tools) and audience (AI agents). It is specific and helps distinguish from sibling tools like 'wisely_creator_catalog_fetch' or 'wisely_creator_catalog_search', though it does not explicitly differentiate.

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

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

No guidance is provided on when to use this tool versus alternatives. There is no mention of prerequisites, when not to use it, or which sibling tools might be more appropriate. The description only states the basic purpose.

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

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

No annotations are provided, so the description bears full burden. It implies a read-only recommendation behavior without side effects, but does not explicitly state idempotency or safety, leaving some ambiguity.

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

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

The description is a single concise sentence that front-loads the core purpose. It is efficient but sacrifices detail.

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

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

With 43 parameters, no output schema, and no annotations, a single sentence is insufficient. The agent lacks understanding of how to structure input or interpret output for recommendation.

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

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

Schema coverage is only 33%, yet the description adds no context for any parameter. It does not explain how parameters like 'url', 'type', or 'input' relate to the recommendation task, leaving the agent with many undocumented fields.

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 recommends the next creator-catalog action, with specific examples like fetch instructions or paid endpoint probe instructions. It distinguishes from sibling tools like fetch and list, but 'subscriber situation' is somewhat vague.

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 such as wisely_creator_catalog_fetch or search. No exclusion criteria or prerequisites mentioned.

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

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

With no annotations, the description carries full burden. It implies a read operation ('search'), but does not disclose whether it modifies state, requires authentication, or any constraints. No mention of error behavior or result format.

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 sacrifices informativeness. It front-loads the basic purpose but omits structuring around parameter groups or usage scenarios.

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 43 parameters, no output schema, and 33% schema description coverage, the description is grossly incomplete. It barely addresses the tool's complexity and provides insufficient context for an agent to use it correctly.

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

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

Schema description coverage is only 33% (14 of 43 parameters documented in schema), but the tool's description adds no parameter explanations. The mention of 'free, subscriber, or paid' hints at defaultEntitlement, but does not clarify any of the many opaque parameters (e.g., url, asset, input, items). The description fails to compensate for low schema coverage.

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

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

The description clearly states the verb 'Search' and the resource 'creator catalog', and specifies it returns the best approved item (free, subscriber, or paid) for a user's situation. It somewhat distinguishes from sibling catalog tools (e.g., wisely_creator_catalog_list, wisely_creator_catalog_fetch) by focusing on finding the best item rather than listing or fetching. However, 'user's situation' is vague and could be more concrete.

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

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

No guidance on when to use this tool vs. alternatives like wisely_creator_catalog_recommend or wisely_creator_catalog_fetch. No prerequisites, when-not-to-use, or context for invocation are provided.

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

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

Annotations are empty, so the description must disclose behavioral traits. It only says 'explain how to publish', not whether it actually performs any action, requires prerequisites, or has side effects. No details on auth, data mutation, or follow-up steps.

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, under 25 words, but covers a broad topic. It is not structured or front-loaded with key information. For a tool with 43 parameters, it is too brief to be useful.

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

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

Given the high complexity (43 params, no output schema, 33% coverage), the description is incomplete. It does not explain what the handoff does, what the output is, prerequisites, or how it relates to other onboarding steps.

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 low (33%) and the description adds no explanation of parameters. Key terms like 'entitlement rules', 'paid actions', 'builder-key controlled' are not mapped to specific parameters. The description does not compensate for the schema gaps.

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

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

The description states the tool 'Explain how to publish creator catalogs...' which gives a general idea but the verb 'explain' conflicts with the tool name 'handoff', implying a transfer rather than instruction. It is not clearly distinct from sibling tools like wisely_creator_catalog_fetch or wisely_creator_onboarding_preview.

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. With many sibling tools for creator catalogs and onboarding, explicit context is missing.

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