quartermaster

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

The description discloses the cost ($0.001), which is a behavioral trait beyond the schema. However, with no annotations, it fails to mention safety profile (e.g., idempotency, error handling) or character encoding assumptions. For a simple tool, the cost transparency adds value but other aspects are missing.

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 a single sentence plus the cost note. It front-loads the core function and is free of any superfluous 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 simplicity and the absence of output schema, the description provides the essential purpose and cost. However, it lacks details on default operation (if 'op' omitted) and output format, which are gaps for an agent needing complete context.

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

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

Schema description coverage is 0%, so the description must compensate. It only indirectly hints at parameters ('encode or decode a string') without explicitly naming or explaining 'op' and 'data', their types, or defaults. This adds minimal meaning beyond the schema.

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

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

The description clearly states the tool performs Base64 encode or decode operations on a string. It uses a specific verb and resource, and effectively distinguishes itself from sibling tools which are unrelated.

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

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

No usage guidelines are provided. The description does not mention when to use this tool versus alternatives, nor any context or prerequisites. This leaves the agent without guidance on 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 are provided. The description flags unlimited approvals and states the cost ($0.001), which adds some behavioral context but does not disclose whether the operation is read-only, or describe any side effects or permission requirements.

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 two-part sentence with no wasted words. Every element (check, flags, cost) earns its place.

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

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

The tool has three parameters, no output schema, and no annotations. The description is too sparse: it does not describe parameters, explain what 'flags' means in output, or provide any context about the return value or potential failure modes.

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% with no parameter descriptions. The description adds no information about the owner, spender, or token parameters beyond their names. For a tool with three parameters, the description should explain their meaning.

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

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

The description clearly states the verb 'Check', the resource 'ERC-20 spending allowance', and the network 'Base', making the tool's purpose specific. Including 'flags unlimited approvals' adds further distinction from sibling tools like base_token_info.

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 allowances and flags unlimited approvals, but lacks explicit guidance on when to use this tool versus alternatives, such as other token-related tools. No exclusions or context 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?

No annotations provided, so description carries full burden. It only discloses cost ($0.001) but omits output format, error handling, and what happens on invalid input.

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 and front-loaded, but borderline under-specified. It conveys core purpose efficiently, but lacks necessary behavioral details.

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

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

For a tool with one parameter and no output schema, the description should explain return values. It only states purpose and cost, leaving output and error cases unspecified.

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%, but the description does not add any meaning to the 'address' parameter beyond its type. No format, examples, or constraints provided.

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

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

The description clearly states the tool's purpose: determine whether a Base address is a contract or EOA. It uses specific verb 'determine' and resource 'Base address,' and distinguishes from siblings as no other tool performs this exact check.

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 prerequisites, and no exclusions. Only cost is mentioned, but 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 provided, so the description must disclose behaviors. It mentions cost and return fields, but lacks details on authorization, rate limits, or error handling.

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 and front-loaded, but omits important parameter details; conciseness sacrifices completeness.

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

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

For a simple tool with one parameter and no annotations or output schema, the description should cover the parameter; it fails to do so, leaving the agent uncertain about how to invoke the tool.

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

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

Input schema has 0% description coverage, and the description does not mention the 'address' parameter at all, leaving its purpose and format unclear.

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

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

Description clearly states it returns ERC-20 name, symbol, decimals, and total supply for a token on Base. Specific about resource and output, but does not explicitly distinguish from sibling tools like token_price.

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 vs alternatives; only mentions cost. No prerequisites or conditions stated.

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

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

Without annotations, the description carries the full burden of disclosing behavior. It correctly indicates this is a cost-incurring query (read operation), but it fails to specify data freshness, pagination, rate limits, or whether transfers include all statuses. The mention of 'Recent' and cost adds some transparency, but more detail 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 very concise, using one short sentence plus a cost note. Every piece of information (action, resource, address scope, cost) earns its place. However, it could be slightly expanded for parameter clarity 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?

The description lacks detail on return values or output format (no output schema). For a simple list tool, the agent needs to know what fields are returned (e.g., amount, timestamp, sender/receiver). Without this, the tool is incomplete for informed decision-making.

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% (no descriptions). The description does not explain the 'address' parameter (obvious from name) or the 'limit' parameter (purpose unclear). For a tool with two parameters, the description adds almost no additional meaning beyond what the parameter names suggest.

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 recent USDC transfers (in and out) for a given address on Base. It specifies the resource and scope, and includes cost information. However, it does not explicitly state the verb (e.g., 'list' or 'get'), and there is no differentiation from siblings like 'wallet_balance' or 'base_contract'.

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 implies it is for checking recent transfers for an address, but it does not mention prerequisites, restrictions, or when not to use it. The cost mention is a constraint but not usage context.

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

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

No annotations are provided, so the description alone must disclose behavioral traits. It states the tool returns time formats and is free, but does not mention error handling (e.g., invalid timezone), rate limits, or that it is read-only. For a simple tool, this is adequate but not fully transparent.

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

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

The description is a single, well-structured sentence. It front-loads important information ('FREE (no wallet needed)') and conveys the tool's purpose and features without unnecessary words.

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

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

Given the tool has one optional parameter, no output schema, and no annotations, the description adequately explains what the tool does and what it returns. However, it could specify the exact structure of the output or mention potential edge cases. Overall, it is complete enough for a simple tool.

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

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

Schema coverage is 100% with the 'tz' parameter described as an optional IANA timezone. The description adds meaning by explaining the output includes ISO, unix, UTC, and optional local time, which goes beyond the schema's parameter description.

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

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

The description clearly states it returns the current time in multiple formats (ISO, unix, UTC) with optional local time for an IANA timezone. The verb 'FREE' implies no cost, and the resource is well-defined. Sibling tools do not include time-related tools, so differentiation is inherent.

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

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

The description mentions 'FREE (no wallet needed)' which implies no prerequisites, but does not provide explicit guidance on when to use this tool versus alternatives. Among siblings, no other time tool exists, so usage context is straightforward but not explicitly articulated.

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

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

With no annotations, the description carries full burden. It discloses cost ($0.005) and basic behavior (includes visible text), but lacks details on limitations, failure modes, or authentication requirements.

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 key action and is free of filler. Every word adds value.

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

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

For a simple 2-parameter tool with no output schema, the description covers the basic purpose and cost but omits explanation of the optional prompt parameter and return value format, leaving gaps.

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

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

Schema coverage is 0% and description covers only the 'url' parameter implicitly (public image URL). The 'prompt' parameter is entirely unexplained, leaving its purpose ambiguous.

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: to describe a public image URL using AI vision, including visible text. It distinguishes from siblings as there is no other image description tool among them.

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

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

The description implies usage (when you need to describe an image), but does not explicitly mention when to avoid or suggest alternatives like summarize_url for non-image URLs.

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. Description mentions cost ($0.001) and method (DNS-over-HTTPS) but does not disclose other behaviors like error handling, result format, or rate limits.

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, front-loaded with action and key details, 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 minimal schema and no annotations, the description lacks parameter explanations, return value description, error handling, and further cost details. It is incomplete for a tool with no output schema.

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, description adds some context by listing record types but does not explicitly link them to the 'type' parameter or explain the 'name' parameter (e.g., domain name format).

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 'resolve', resource 'DNS records', and method 'DNS-over-HTTPS', listing specific record types. It distinguishes from siblings as no other DNS tool is present.

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, when not to, or alternatives. No context on prerequisites or use cases.

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

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

No annotations are provided, so the description carries the burden. It discloses the cost ($0.002), which alerts the agent to potential charges, but does not mention idempotency, rate limits, or error conditions.

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

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

A single sentence conveys purpose, dimensionality, use cases, and cost with no wasted words, making it highly concise 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?

The description lacks details about the output format (e.g., vector representation, data type) and error behavior, which are essential for an agent to correctly use the tool given the absence of an output schema.

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 does not explain the 'text' parameter beyond what the schema already provides (string, maxLength 8000), failing to add 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?

Description explicitly states 'Text embeddings (1024-dim vector) for semantic search and RAG', which clearly identifies the tool's purpose and distinguishes it from siblings like translate_text or moderate_text.

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

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

The description mentions specific use cases (semantic search, RAG) but does not provide when-not-to-use guidance or list alternatives, leaving the agent to infer usage from context.

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

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

No annotations provided; description only mentions cost ($0.005) but lacks information on error handling, idempotency, required permissions, or effects of invalid schemas.

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?

Very short (two sentences), front-loaded with purpose, but too sparse for a tool with three parameters and no other documentation.

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

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

Given no output schema and no annotations, the description fails to explain return format (beyond 'matching JSON'), error scenarios, or behavior when both url and text are provided.

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?

Only the 'schema' parameter has a description in the schema; the description does not clarify the mutual exclusivity or optionality of 'url' and 'text', nor add constraints 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?

Description clearly states the tool extracts structured JSON from URL or text using a provided JSON schema, distinguishing it from sibling tools that do different operations like summarizing or extracting metadata.

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?

Implies usage for structured extraction with a schema but gives no explicit when-to-use or when-not-to-use guidance, nor mentions alternatives among siblings.

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

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

Since no annotations are provided, the description bears the full burden. It discloses behavior (retrieving current prices) and a specific cost of $0.001, which is important for agents to know. However, it does not mention idempotency, authentication needs, or rate limits, but for a simple read tool with a cost, this is sufficient.

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 exceptionally concise: two short sentences that convey purpose, scope, and cost. Every word adds value with no 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?

Given no parameters and no output schema, the description provides the essential information: what data is returned (gas prices with transfer cost estimate) and the cost. It could be enhanced by specifying units (e.g., gwei) or example output, but it is largely complete for a simple tool.

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

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

There are zero parameters, and schema coverage is 100%. Baseline for 0 parameters is 4. The description does not add parameter info, but none is needed.

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

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

The description clearly states the tool retrieves current Base gas prices with a simple-transfer cost estimate. Even without a title, the specific verb ('Current...') and resource ('Base gas prices') are unambiguous. It distinguishes from siblings like token_price or wallet_balance by focusing on gas prices.

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 token_price or wallet_balance. No when-not-to-use context or prerequisites are provided. The description only states what the tool does without any usage context.

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

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

Discloses key behavioral traits: free (no wallet) and batch limit (up to 100). With no annotations, the description effectively communicates these aspects, though it omits details like output format or error handling.

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 the most important note about cost. Every word serves a purpose, with no redundancy or filler.

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

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

For a simple UUID generation tool with one parameter and no output schema, the description provides sufficient context: what it does, constraints, and cost. No gaps remain.

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

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

Schema coverage is 100% with a clear parameter description. The tool description repeats the batch constraint but adds no new semantic detail, meeting the baseline for 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?

Description clearly states the tool generates UUID v4 values with a specific batch limit. The verb 'generate' and resource 'UUID v4 values' are precise, distinguishing it from sibling tools like base64 or hash_string.

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?

Indicates that no wallet is needed, implying free usage, but lacks explicit guidance on when to use this tool vs alternatives. For a simple utility, this is adequate but not excellent.

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 notes the tool is free and requires no wallet, but fails to mention default behavior (e.g., if algo is not provided, what algorithm is used?), error handling, or idempotency. The free aspect is transparent, but other behaviors are opaque.

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 benefit (FREE, no wallet needed) followed by the purpose. Every word is functional; no wasted space 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?

For a simple hash tool with no output schema and only two parameters, the description is moderately complete. It explains input (string) and algorithms, but does not describe the output format (hex digest) explicitly or handle edge cases. Given the simplicity, it's 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 description coverage is 0%, so the description must compensate. It only lists the available algorithms (SHA-1/256/384/512) which partially explains the 'algo' parameter, but does not explain the 'data' parameter beyond 'string' or mention defaults. The enum values are already in the schema, so minimal additional meaning is provided.

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

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

The description clearly states the tool computes SHA hashes (SHA-1/256/384/512) of a string and returns a hex digest. It distinguishes it from sibling tools like base64, which is encoding not hashing, and others unrelated to hashing.

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

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

The description mentions 'FREE (no wallet needed)', implying no cost or authentication required, which is a usage hint. However, it gives no explicit when-to-use versus alternatives or when not to use this tool, leaving the agent to infer context.

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

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

Discloses cost ($0.001) and outlines explanation contents (meaning, causes, fixes, retry guidance). No annotations to contradict; description is fairly transparent.

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

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

Two efficient sentences: first states purpose, second adds cost. 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?

For a simple one-parameter tool without output schema, the description covers purpose, cost, and what the explanation includes.

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 description does not add meaning beyond the integer type, e.g., expecting a valid HTTP status code.

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 'Explain' and the resource 'HTTP status code', and distinguishes from sibling tool http_errors_list which likely lists codes without explanation.

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?

Implies usage for explaining a specific HTTP code, but does not explicitly contrast with alternatives like http_errors_list or state when not to use.

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 conveys that the tool is free, requires no wallet (suggesting no authentication), and provides a listing of HTTP status codes. This is adequate for a simple read-only operation, though it could mention any potential limits or response 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, front-loaded sentence that immediately communicates key attributes ('FREE no wallet needed') and purpose. No unnecessary words.

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

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

Given the tool's simplicity (no parameters, no nested objects, no output schema), the description fully covers the tool's purpose and how to use it, including the availability of a related paid tool.

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

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

The tool has zero parameters and 100% schema coverage, so the baseline is 4. The description adds extra value by clarifying the free/paid distinction, which is beyond what the schema provides.

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

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

The description clearly identifies the tool as an index of HTTP status codes, using the verb 'list' implied by the name and explicitly contrasting with 'http_error_explain' for paid detailed explanations. This 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?

The description explicitly states when to use this tool ('FREE no wallet needed' index) and when to use the alternative ('use http_error_explain for a paid detailed explanation'), providing clear context for 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?

With no annotations, the description carries full burden. It discloses the cost ($0.001) and the fact that signature is not verified, providing key behavioral traits. It does not detail output format or error handling, but the core behavior is transparent.

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

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

Two sentences with no waste: front-loaded with the core action, followed by a critical caveat and cost. Efficient and well-structured.

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

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

Given the tool's simplicity (one parameter, no output schema, no annotations), the description is fairly complete. It explains what is done, what is not done, and cost. Missing output format details are partially implied.

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 implicitly defines the 'token' parameter as the JWT string, but adds no extra detail beyond the property name. For a simple string parameter, this is adequate but not exceptional.

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 decodes a JWT header and payload, and explicitly notes signature is not verified. This differentiates it from siblings like base64 or hash_string, providing a specific verb and resource.

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

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

It specifies that signature is NOT verified, implying this tool is for decoding only, not for security verification. However, it does not explicitly mention when to use it over alternatives like verification 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?

Since no annotations are provided, the description bears full weight. It discloses the model used (Llama Guard), output format (safe flag and category codes), and cost ($0.002). This is transparent for a classification tool, though details like rate limits or latency are absent.

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: first states purpose and output, second adds cost. No redundant information. Every word earns its place.

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

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

Given the tool's simplicity (single parameter, no output schema), the description provides essential output details (safe flag, category codes) and cost. Could expand on category codes or limitations, but it is fairly complete for an agent to select and invoke correctly.

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

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

With 0% schema description coverage, the description should elaborate on the 'text' parameter. It only mentions 'Content-safety classification', not adding any meaning beyond what the schema already provides (string, maxLength). No format or encoding hints.

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 performs content-safety classification using Llama Guard, returning a safe flag and category codes. It also mentions the cost. This is specific and distinct from sibling tools.

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

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

No explicit guidance on when to use this tool versus alternatives or when not to use it. The description only mentions cost as a consideration, but lacks context for appropriate use cases or exclusions.

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

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

With no annotations, the description carries the full burden for behavioral disclosure. It only mentions the cost and implies a read operation. It does not address error handling, HTTP requests, rate limits, or whether the URL is fetched server-side.

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 plus cost) with no extra fluff. For a simple tool, this is appropriate, though a bit too minimal.

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 one parameter and no output schema. The description lists the metadata fields returned, which is helpful, but does not specify the return format (e.g., JSON object). It is adequate but not comprehensive.

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

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

The single parameter 'url' is not described in the schema (0% coverage) and the description only implies it is the target URL. No format, restrictions, or examples are provided, leaving the agent to infer 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 clearly states the tool's purpose: to retrieve page metadata including title, description, Open Graph tags, canonical URL, favicon, and language. The verb 'Get' is specific, and the list of fields distinguishes it from sibling tools like 'summarize_url' or 'web_extract'.

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, limitations, or exclusions. Sibling tools exist (e.g., 'summarize_url', 'web_extract') but no comparison 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. Describes core function but omits error handling, failure modes (e.g., invalid hash), latency, or any side effects. Lacks detail on what happens in edge cases.

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

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

Three sentences, each functional: purpose, cost, usage guideline. Front-loaded with key action. No redundant or vague language.

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?

Adequately describes purpose and usage, but lacks output schema information. 'Returns a single verdict' is vague; agent may need to understand the verdict structure. Sufficient for a simple tool but could be more 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?

With 0% schema description coverage, description adds meaning by stating hash is the tx hash and payTo/amount are optional assertions. However, it does not specify formats, constraints, or the structure of the verdict.

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 'Verify an x402 settlement from a tx hash' with specific steps: confirm Base tx succeeded, decode USDC transfers, optionally assert payTo/amount. Distinguishes from sibling settlement_assurance by noting this is for a simple yes/no answer.

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 advises 'Choose this when you only need the yes/no did-it-land answer' and points to settlement_assurance for full reports. Also mentions $0.003 cost. Provides clear 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?

No annotations are provided, so the description carries full burden. It discloses cost ($0.002) and output contents (timestamp, decoded transfers, explorer link). Though it doesn't explicitly state read-only or permission requirements, the nature of the tool (generating a receipt) implies no side effects. The disclosure is adequate but could be more explicit about behavioral traits.

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

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

Three sentences, each carrying essential information: purpose/output, cost, usage guidance with sibling alternatives. No redundancy, perfectly concise 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?

For a simple tool with one parameter and no output schema, the description covers purpose, output, cost, and differentiation. It misses an explicit explanation of the 'hash' parameter, but the overall context is sufficient for an agent to use the tool correctly. Could be more complete by defining the parameter.

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. It implicitly suggests the 'hash' parameter is a transaction hash by mentioning 'Base transaction', but it does not explicitly describe the parameter or its pattern. The schema pattern (0x hex) provides additional context, but the description adds minimal 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 'Formatted settlement receipt for a Base transaction' with a specific verb ('Formatted settlement receipt') and resource ('Base transaction'). It clearly distinguishes from siblings by naming payment_proof and settlement_assurance, specifying that this tool is chosen for a human-readable record.

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?

Explicit guidance on when to use this tool versus alternatives: 'Choose this for a human-readable record; use payment_proof to ASSERT a specific payTo/amount, or settlement_assurance for a full scored verdict.' It also mentions cost implications ($0.002), helping the agent decide based on resource usage.

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

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

No annotations are provided, so the description carries the burden. It discloses generation output, cost, and format options, but does not specify how the result is returned (e.g., SVG string, file, or URL) or any side effects like idempotency. The cost mention adds transparency, but return format is unclear.

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 plus a cost note, highly concise with no superfluous information. Every word adds value.

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

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

For a simple tool with 3 parameters, no output schema, and no annotations, the description covers purpose, cost, and format options. It is mostly complete but lacks explicit details about the return value (e.g., whether SVG is returned as a string or URL) and does not explain the ecc parameter.

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% (low), so the description must compensate. It explains the format parameter (svg/text) but does not describe the 'data' parameter (beyond requiring it) or the 'ecc' parameter (error correction levels). Only partial compensation, leaving gaps.

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

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

The description clearly states the tool generates QR codes as SVG or terminal text, with specific format options via the format parameter. It distinguishes from sibling tools, none of which are QR-related, so no ambiguity.

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

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

The description implies usage through format selection (svg vs text) and mentions cost, but does not explicitly state when to use this tool versus alternatives or provide exclusions. Siblings are unrelated, so usage is implied rather than guided.

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

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

No annotations are provided, so the description must carry the full burden. It indicates the tool is 'Free:' (no cost) and provides info, but does not disclose whether it requires authentication, has rate limits, or if it is read-only. Minimal 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?

A single sentence of 8 words, front-loaded with 'Free:' and directly stating the tool's content. Every word is necessary; no filler or repetition.

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

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

For a parameterless info tool, the description covers the basic purpose but lacks context on output format, whether it returns structured data, or how to use the information with sibling tools like payment_proof. Adequate but not robust given the ecosystem.

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?

Input schema has no parameters, so schema description coverage is 100%. Description adds no parameter info, but that is acceptable as there are none. Baseline of 4 is appropriate.

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

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

Description states it provides 'catalog, prices, and payment instructions for this server.' This clearly indicates the tool offers commercial and payment-related information, distinguishing it from siblings like base_token_info or payment_proof. A specific verb would improve clarity, but it is sufficient.

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 payment_proof or x402_merchant. The agent lacks context on whether this should be called before other payment-related tools or if it provides prerequisites.

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

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

Discloses cost, but no annotations provided; lacks details on error handling, return format, or behavior for invalid names.

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-sentence description: first sentence states purpose, second adds cost. No fluff, highly efficient.

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

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

Covers purpose, input, and cost. Missing output format details and error cases, but acceptable for a simple tool with no output schema.

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?

Description adds meaning that 'name' is a Basename, but does not specify whether to include '.base.eth' suffix or just the username, leaving ambiguity.

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

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

Description clearly states the tool resolves a Basename (.base.eth) to a wallet address on Base, distinguishing it from sibling tools which do not offer similar 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?

Description implies usage via cost ($0.001), but does not explicitly state when to use or alternatives. No guidance on when not to use.

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?

Discloses key behavioral traits: costs $0.03, produces a 0-100 scored report with verdict, includes optional audit. No annotations are provided, so description carries full burden. Minor lack: does not explicitly state read-only or destructive nature, but context implies non-destructive.

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

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

Two sentences with high information density. First sentence front-loads core purpose and output format; second sentence provides usage guidance and cost. 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?

Describes output format (scored report with verdict) and mentions cost, which aids decision-making. However, parameter semantics are missing, and without output schema, more detail on the report structure would improve completeness.

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

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

Schema description coverage is 0%, so description must explain parameters. It only implies the 'hash' parameter ('from a tx hash') but does not elaborate on 'payTo', 'amount', or 'resource'. This gap impairs correct parameter 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?

Description clearly states the tool proves a completed x402 payment is real and sound, with a detailed list of checks (onchain success, USDC transfer match, receipt, optional audit). It distinguishes from siblings by naming alternatives and their use cases.

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 provides guidance on when to use this tool versus alternatives: use payment_proof for plain pass/fail, tx_status for raw status, x402_audit for grading a seller endpoint without payment. Clear and actionable.

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

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

With no annotations provided, the description carries full burden. It discloses that the tool fetches a public webpage (not private), extracts content, summarizes, and costs $0.01. It also describes the length parameter. However, it does not mention error behavior or what happens on failure.

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, no fluff. The first sentence states the core purpose, and the second adds parameter and cost details. Efficient 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?

No output schema exists, so the description should clarify what the tool returns. It says 'AI summary' but does not specify format (plain text? structured?). It also omits error handling and limitations (e.g., if page is too large). For a simple tool with two params, it covers basic functionality but lacks output 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 0%, so the description must add semantic value. For 'url', it provides no extra meaning. For 'length', it only repeats the enum values ('short|medium|long') without specifying what they mean (e.g., word count or detail level). This adds minimal utility 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 it provides an 'AI summary of a public webpage' and details the process ('fetch + extract + summarize'). It also specifies the adjustable 'length' parameter and cost, distinguishing it from sibling tools like web_extract or describe_image.

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

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

The description implies use for summarizing public webpages and mentions cost, but does not explicitly state when to use this tool over alternatives (e.g., web_extract) or provide conditions for use (e.g., when page is not accessible). No 'when not to use' guidance.

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

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

With no annotations, the description carries full burden. It mentions compactness and cost, but does not state whether it is read-only, what the output format is, or any side effects. Critical behavioral traits are missing.

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?

Extremely concise single sentence including cost, no wasted words. However, the structure could front-load purpose more explicitly and add key details without increasing length significantly.

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

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

For a simple tool with no output schema and no annotations, the description is too sparse. It fails to explain the return format (e.g., string of diff lines), behavioral traits, or parameter semantics, leaving the agent underinformed.

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 adds no contextual meaning to the parameters beyond the schema names. It does not clarify that 'before' is the old text and 'after' the new, or any constraints.

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 computes a 'Compact line-level diff between two texts'. The verb is implied, resource is texts, and it distinguishes from siblings like hash_string or text_stats, none of which perform diffs.

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, nor any prerequisites or exclusions. The agent receives no context for decision-making.

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?

Only behavioral trait disclosed is the cost of $0.001; no mention of side effects, authentication requirements, or other behaviors beyond the basic operation.

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

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

Description is concise and front-loaded with purpose, but could benefit from slight expansion for completeness.

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?

Missing description of output format, specific readability metric, error handling, or text length limits; insufficient for a complex text analysis tool.

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

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

With 0% schema description coverage, the description adds that the 'text' parameter is the input for processing, but lacks details on limits, format, or encoding.

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

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

Description clearly states the tool computes word/sentence counts, reading time, and readability score for text, distinguishing it from sibling tools like hash_string or translate_text.

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, nor any conditions or prerequisites for use.

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 cover behavioral traits. It mentions the cost but no other behaviors such as rate limits, authentication, return format, or error handling. This is minimal disclosure.

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 short sentences containing only necessary information. No redundancies or filler text. It is front-loaded with the core purpose.

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

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

For a simple one-parameter tool, the description covers the purpose and parameter meaning. However, it lacks any mention of return value, latency, or limitations, which would be helpful for an agent invoking it. Output schema is absent, so more context on what is returned would improve completeness.

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

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

The sole parameter 'token' has no schema description (0% coverage). The description adds meaning by stating it can be a major token symbol or any Base ERC-20 address, which is essential for correct usage. However, it does not provide examples or format validation hints.

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

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

The description specifies that the tool provides USD prices for tokens either by symbol or address, which clearly indicates its resource and scope. However, it lacks an explicit action verb like 'get' or 'fetch', slightly reducing clarity.

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 only usage hint is the cost of $0.001 per call. There is no guidance on when to use this tool compared to siblings like base_token_info or wallet_balance, nor any prerequisites or exclusions.

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

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

Cost ($0.005) and source auto-detection are disclosed. However, no annotations exist to supplement, and the description omits other behavioral aspects like potential quality or unsupported languages.

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 purpose, no wasted words. Essential info is present, though the character limit could be included.

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

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

For a simple tool with no output schema, the description should cover return values, network requirements, and paid nature. Only cost is mentioned; missing key completeness elements.

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 coverage, description adds meaning: 'target language' for 'to' and clarifies auto-detection for source. But doesn't specify language format or that both parameters are required, leaving 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?

Description clearly states it translates text into any target language with auto-detected source. Verb 'translate' and resource 'text' are explicit. No similar sibling tools, so differentiation is inherent.

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?

Implies usage for translation needs but lacks explicit when-to-use/when-not-to-use guidance. No alternatives mentioned, and the 8000 character limit from schema is not highlighted as a constraint.

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

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

With no annotations, the description carries full burden. It discloses behavior (returns status, confirmations, gas, link) and cost ($0.002). It does not mention destructive actions or auth needs, but the tool is clearly a read-only query. Minor omission: could specify that it does not modify state, but safe to assume.

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: first states purpose and cost, second provides usage guidance. No fluff, front-loaded with key info.

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

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

For a single-parameter, no-output-schema tool, the description covers the essentials: what it checks, what it returns, cost, and alternatives. It is complete given the tool's simplicity.

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

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

The only parameter 'hash' is defined in the schema with pattern and type. The description does not add extra meaning beyond what the schema provides. Schema coverage is 0%, so the description should compensate, but the context of 'Base transaction' makes 'hash' clear enough. Still, no additional 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 checks a Base transaction and returns status (success/reverted/pending), confirmations, gas, and an explorer link. It also mentions the cost. The verb 'check' and resource 'Base transaction' are specific.

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 tells when to use this tool ('quick raw status') and when to use alternatives ('payment_receipt for decoded transfers', 'settlement_assurance to PROVE an x402 payment'). This provides clear context and differentiation from siblings.

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

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

No annotations are provided, so the description must fully disclose behavioral traits. It notes a cost ($0.001) but fails to mention whether the conversion is read-only, idempotent, or requires authentication, leaving significant behavioral ambiguity.

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

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

The description is a single sentence with an additional cost clause, making it concise. However, the structure front-loads purpose but omits parameter context, which would be valuable in a compact form.

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 three undocumented parameters, the description is insufficient for an agent to use the tool correctly. It lacks details on input/output format, edge cases, and the meaning of the cost.

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 tool description adds no explanation for the parameters 'amount', 'decimals', or 'direction'. An agent cannot infer the expected format (e.g., atomic vs. human for amount) or the effect of omitting optional parameters.

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

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

The description clearly states the action ('Convert USDC amounts between atomic units and human decimals') and mentions the cost. It distinguishes the tool from siblings, none of which perform USDC conversion.

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 USDC unit conversion but provides no explicit guidance on when to use versus alternatives, nor any context about prerequisites or limitations.

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 the full burden. It discloses the cost ($0.001) and implies a read-only query. However, it does not mention potential failure modes or response format, but for a simple balance check, this is 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 very concise (one sentence) and front-loads the key action. However, it omits important parameter details and would benefit from a brief explanation of the token parameter.

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 (2 params, no output schema), the description is incomplete. It fails to specify how to use the token parameter, default behavior, or output format (e.g., decimal precision). A more complete description would address these gaps.

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

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

Schema description coverage is 0%, so the description should explain parameters. It only vaguely mentions 'ETH and USDC (or any ERC-20)' but does not clarify the token parameter's format (e.g., contract address or symbol) or default behavior. This adds minimal 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 clearly states it retrieves balances of ETH, USDC, or any ERC-20 token for an address on Base. It distinctly differentiates from sibling tools like base_allowance or base_token_info by focusing on balance checking.

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 implicitly indicates when to use this tool (to check balance) but does not explicitly state when not to use it or mention alternatives. The context of sibling tools provides differentiation, but explicit guidance would improve clarity.

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 must cover behavioral traits. It mentions the cost but omits safety, caching, rate limits, or authentication requirements. The agent lacks critical safety 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 extremely concise, with two sentences that efficiently state purpose and cost. No extraneous 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 simplicity, the description covers core purpose and cost but lacks usage guidelines and behavioral transparency. It is minimally adequate but could be more complete, considering the need to differentiate from sibling 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 100%, so the description adds no meaning beyond the schema. It does not elaborate on URL format or constraints, meeting the baseline but adding no extra 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 verb 'extract', the resource 'public webpage', and the output format 'structured JSON'. It distinguishes from siblings like 'page_meta' by implying a more comprehensive extraction of both text and metadata.

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

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

No guidance is provided on when to use this tool versus alternatives like 'page_meta' or 'summarize_url'. Exclusion criteria or context for use are absent.

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

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

With no annotations provided, the description carries the full burden. It discloses the cost ($0.01), the workflow nature ('in one call'), and the audit components. It does not mention rate limits or authorization, but it is generally transparent about what the tool does and its non-destructive nature.

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: the first comprehensively describes the tool's function and output, and the second provides usage guidance. No extraneous information; every sentence earns its place.

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

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

Given the tool's complexity (multi-step audit, score, evidence, fixes) and lack of output schema, the description provides a good overview. It explains the return values (score, evidence, fixes) and distinguishes from siblings. Minor gap: no detail on evidence structure, but overall sufficient.

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

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

The input schema has one required parameter (url) with a description. The description adds that the URL should be an 'x402 SELLER endpoint', but since schema coverage is 100%, the added value is marginal. Baseline 3 is appropriate.

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

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

The description clearly identifies the tool as a full scored audit of an x402 SELLER endpoint, listing specific verifications (402 challenge, payment fields, discovery metadata) and output (0-100 score, evidence, fixes). It distinguishes itself from sibling tools like settlement_assurance.

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 ('grade an endpoint before trusting/publishing') and when to use an alternative ('use settlement_assurance instead when you already have a transaction hash'). This provides clear guidance for 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?

With no annotations, the description adds a key behavioral trait: 'Costs $0.001'. However, it omits other behaviors like authentication requirements, rate limits, or error handling, leaving gaps.

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

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

Single sentence with no redundancy. Could be split into purpose and cost for better structure, but it is efficient 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?

Lacks output description, error hints, or usage prerequisites. No output schema exists, so description should cover return values or success indicators; it does not.

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 'query' as a natural-language string but provides no meaning for 'limit'. This partially addresses one of two parameters.

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

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

The description clearly states the action 'Search', the resource 'Coinbase x402 Bazaar', and the method 'natural-language query'. It distinguishes from sibling tools like x402_audit and x402_inspect by emphasizing paid resource discovery.

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 vs alternatives. While the description implies search use case, it does not exclude scenarios or mention sibling tools for different operations.

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, but description specifies it is a read-only inspection (inspect/lint) and mentions cost ($0.002). Does not disclose all potential side effects, but as an inspection tool it is transparent enough.

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: first defines purpose, second provides usage guidance. 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?

Covers main purpose, cost, and sibling distinction. Lacks details on output or error handling, but acceptable for a simple tool with one parameter.

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?

Only one parameter 'url' with 0% schema description coverage. Description does not explain URL format, examples, or constraints, adding little 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?

Clearly states it inspects and lints x402 paid endpoints, decoding the 402 challenge, identifying network/asset, flagging misconfigurations and Bazaar-readiness. Distinguishes from sibling x402_audit.

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 tells when to use this tool ('quick one-shot decode+lint') and when to use alternative ('x402_audit for a full 0-100 scored report').

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 only behavioral trait disclosed is the cost. No annotations are provided, and the description does not mention whether this is a read-only operation, potential errors, rate limits, or side effects. Listing resources is likely read-only, but the description fails to confirm 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 a single concise sentence, front-loaded with the key verb and resource. It is to the point but lacks any structure (e.g., bullet points) that could improve readability without significant length. Every word earns its place.

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

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

Given the lack of output schema, annotations, and the presence of sibling tools, the description is insufficiently complete. It does not explain what x402 Bazaar resources are, how the output is structured, or how the limit parameter controls pagination. A first-time user would have many unanswered questions.

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. It partially clarifies that 'payTo' is the merchant's wallet, but provides no information about the 'limit' parameter (integer), leaving it entirely undocumented. With one out of two parameters partially covered, this 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 clearly states the action (List) and the resource (x402 Bazaar resources under a merchant payTo wallet), which distinguishes it from sibling tools like x402_audit and x402_discover. However, 'x402 Bazaar resources' is somewhat vague, leaving ambiguity about what exactly is listed.

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

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

The description mentions a cost ($0.001), which is a usage consideration, but provides no guidance on when to use this tool versus alternatives like x402_audit or x402_discover. No prerequisites, exclusions, or context about the payTo wallet requirement are given.

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

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

With no annotations, the description carries full burden for behavioral context. It correctly indicates the tool is non-destructive and returns example data with explanations. However, it doesn't specify whether the examples are static or generated, nor does it detail any side effects, but for a test vector tool this is generally sufficient.

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 is front-loaded with key information. Every word adds value, and there is no extraneous content.

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

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

Given zero parameters and no output schema, the description adequately states the tool provides example objects and explanations. It could be slightly improved by mentioning the format, but for a test vector tool 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?

There are no parameters, so schema coverage is 100%. The description does not need to add parameter semantics; the baseline for 0-param tools is 4.

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

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

The description clearly states the tool provides example x402 payment-requirement objects with field explanations. It uses a specific verb ('example') and resource ('payment-requirement objects'), and distinguishes from sibling tools like x402_audit or x402_inspect, which have different 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 is given on when to use this tool versus its siblings (e.g., x402_audit, x402_discover). The description only says 'Free:', which implies no cost but doesn't indicate context or preconditions for use.

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