01Mind

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

With no annotations, the description fully carries the behavioral transparency burden. It discloses the static nature ('generated once'), identical content for all purchasers, the $15/call pricing, the HTTP 402 challenge for unpaid calls, and the required X-PAYMENT (or PAYMENT-SIGNATURE) header for successful retrieval. This is exceptionally detailed and goes well beyond basic expectations.

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

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

The description is concise but information-dense, with every sentence contributing: definition, disclaimer, pricing, and payment protocol. It front-loads the core purpose and uses punctuation to structure related details, with no wasted words.

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

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

Given the tool's unusual paid-access model, the description thoroughly covers payment mechanics, retry behavior, and legal disclaimers. The main gap is the lack of explicit response format details (e.g., what the document looks like), but with no output schema and a simple document-serving use case, this is a minor omission.

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

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

The schema already explains the only parameter (walletAddress) with 100% coverage. The description adds no additional parameter-level meaning beyond what the schema provides. It does mention payment headers, but those are not schema parameters, so the baseline of 3 is appropriate.

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

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

The description clearly identifies the tool as an ASIC/ACCC regulatory guidance reference document, distinguishing it from siblings by topic (Australian corporate/consumer regulators vs. tax, GDPR, HIPAA, aviation). However, it lacks an explicit verb like 'retrieves' or 'provides', relying instead on a noun phrase, which is slightly less actionable.

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

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

The description implies when to use (when ASIC/ACCC guidance is needed) and provides key context (paid via x402, not legal advice). It does not explicitly compare to alternatives or state 'use this when...', leaving differentiation to the tool name and topic rather than explicit 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 fully carries the burden and excels. It reveals that the tool returns a static document, requires payment via x402, returns a real HTTP 402 if unpaid, and requires specific payment headers to retrieve data. These are non-obvious, critical 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?

The description is two sentences, front-loads the purpose, and then adds essential payment/protocol details. Every clause is informative, and there is 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?

Despite the simple schema, the tool has a complex payment interaction. The description covers the document nature, the cost, the 402 response, and the required retry headers. For a tool with no output schema and one optional parameter, this is a complete descriptor.

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

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

The schema has 100% coverage for the single optional walletAddress parameter, so the description adds no parameter-level meaning. Per the baseline rule for high schema coverage, a score of 3 is appropriate; the schema already explains the parameter adequately.

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 Australian tax compliance reference document, distinguishing it from siblings like gdpr_compliance_pack or hipaa_compliance_pack by jurisdiction and topic. Phrases like 'citation-grounded' and 'served to every purchaser' make the resource type and behavior explicit.

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

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

The description provides clear context: it is a paid reference document, information-only, not tax advice, and details the x402 payment protocol including the 402 payment challenge on unpaid calls. It explicitly says what it is not (tax advice) but does not name alternative sibling tools or when to prefer those over this one.

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 carries the full burden and does well: it discloses the x402 payment requirement, the real HTTP 402 challenge for unpaid calls, the need for X-PAYMENT or PAYMENT-SIGNATURE headers, and the fact that the document is 'generated once by Claude and served to every purchaser'. It does not describe the exact response format or content structure, but the disclosed payment and delivery behavior is valuable.

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

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

The description is three sentences long and front-loaded with the core purpose, followed by a clear disclaimer and the payment protocol. Each sentence contributes meaning, though the payment details could arguably be tightened without loss. Overall it is well-sized and 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 is simple (one optional parameter, no output schema) and has no annotations, the description covers the essential context: what the resource is, that it is reference-only, and the payment/auth flow. It does not say what the returned data looks like, but that omission is acceptable for a low-complexity tool with a straightforward purpose.

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, walletAddress, is already 100% covered in the schema, so the baseline is 3. The description adds useful nuance by explaining it is optional and 'if not already inferrable from the settled payment itself', which helps the agent decide whether to pass it. No other parameters need explanation.

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 'citation-grounded aviation safety regulatory guidance reference document (CASA/ICAO)' and clarifies it is informational only. However, it lacks a direct action verb like 'retrieve' or 'fetch', and it does not explicitly distinguish itself from sibling guidance packs such as asic_accc_guidance_pack.

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

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

The description provides payment context and states that the material is 'informational reference material only', but it gives no guidance on when to choose this tool over sibling tools, no use-case examples, and no exclusionary criteria. The 'when to use' is only implied by the aviation regulatory subject matter.

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 for behavioral disclosure. It discloses key behaviors: adds a server footer naming 01Mind and the wallet, enforces a 20 sends per wallet per 24h cap, charges $0.02/call, returns a real HTTP 402 payment challenge if unpaid, and requires specific headers to receive data. This is detailed and transparent about the tool's side effects and 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 concise yet information-dense, with three sentences covering purpose, constraints, and payment protocol. It is front-loaded with the core action ('Send a real plaintext email') and each subsequent sentence adds a distinct, necessary fact (footer, cap, pricing, payment challenge). No filler or 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 the lack of an output schema and annotations, the description compensates well by explaining the payment flow and failure mode. However, it does not specify what the successful response body looks like (e.g., confirmation, message ID, or sent email details) beyond saying 'real data.' This is a minor gap for a tool with a single optional parameter, but the overall picture is largely complete.

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

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

Schema coverage is 100% and the only parameter walletAddress has a clear description. The main description adds context about the payment mechanism and the 'real data' returned, which helps interpret why the wallet address might be needed. While the description doesn't repeat parameter syntax, it enriches the understanding of the parameter's role in the payment flow.

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

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

The description clearly states the tool's function: 'Send a real plaintext email to a recipient you specify, on your behalf, via 01Mind.' It uses a specific verb (send) and identifies the resource (email service). It also distinguishes itself from the sibling tools, which are all compliance/data/guidance APIs, making it the unique email-sending tool.

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

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

The description provides clear context on how and when to use the tool: you can send real emails, but there are constraints (footer, 20-send cap, paid via x402). It implicitly differentiates from siblings by being the only email tool. However, it does not explicitly state alternatives or exclusions, e.g., when not to use it (e.g., for HTML email). It gives enough context that the use case is obvious.

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 there are no annotations, the description carries the full burden. It discloses the paid nature ($0.002/call), the HTTP 402 challenge and retry mechanism, and emphasizes real data verified against the actual API contract—behavioral details beyond what annotations would provide.

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

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

The description is long but every sentence adds value: purpose, pricing, trust, usage, and payment mechanism. It is well-structured with front-loaded core functionality, no fluff, and reads naturally.

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 there is no output schema, the description does not explicitly state the response format (e.g., JSON structure). However, it explains the core behavior, payment flow, and usage well enough for an agent to invoke the tool. The main gap is the missing response shape, but the tool is still sufficiently understood.

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 (walletAddress) is fully described in the schema, giving 100% coverage, so the baseline is 3. The description adds context about payment headers but does not further explain walletAddress itself. It also hints at additional parameters (base currency) not present in the schema, but this is not a semantic explanation of the documented parameter.

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

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

The description clearly states the tool provides real-time foreign exchange rates via frankfurter.dev (ECB reference rates), and explicitly mentions querying base currency and retrieving one or all rates. This distinguishes it from unrelated sibling tools like weather or compliance packs.

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

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

The description gives clear usage context (query any base currency, get one rate or full set) and explains the payment prerequisite via x402 protocol. However, it does not explicitly mention alternatives or when not to use the tool, which prevents a perfect score.

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

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

With no annotations, the description fully discloses critical behaviors: $20/call pricing, 402 payment challenge on unpaid calls, and the requirement for X-PAYMENT/PAYMENT-SIGNATURE headers. It also notes the content is informational, not legal advice, adding appropriate 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 two sentences but packs substantial detail: content nature, generation, payment, and error handling. It is dense yet structured logically, with the core purpose stated first. Not overly verbose, though it could be more concise.

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

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

The description covers the tool's content, pricing, payment flow, and legal caveat. Given the lack of output schema, it sets appropriate expectations for a reference document. It does not mention alternative guidance, but that is more of a usage dimension gap.

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

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

The schema already provides a clear description for the single optional walletAddress parameter (100% coverage). The tool description does not add additional parameter semantics, but the baseline of 3 is warranted because the schema handles it adequately.

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 GDPR compliance reference document with specific characteristics (citation-grounded, generated once, served to purchasers). It distinguishes itself from sibling compliance packs by topic and content type.

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?

Usage is only implied by the GDPR topic; there is no explicit statement about when to choose this tool over sibling packs like HIPAA or AU tax compliance. The description focuses on payment mechanics rather than 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 provided, the description fully discloses the key behavioral traits: it is a pre-generated document served identically to all purchasers, requires $25 payment via x402 protocol, and returns an HTTP 402 challenge on unpaid calls with instructions to retry with payment headers. This is highly transparent about the financial gate and response behavior, leaving no ambiguity about what happens on success or 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?

The description is composed of three tightly written sentences. The first sentence establishes the core purpose, the second adds a critical caveat, and the third explains the payment workflow. Every sentence earns its place with no filler or redundancy, and the most important information is 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 covers the tool's purpose, limitations, payment flow, and error handling, which is substantial for a tool with one optional parameter and no output schema. However, it does not specify the format or structure of the returned data after successful payment (e.g., text, JSON, sections), leaving a minor gap in what the agent should expect as output. Overall, it is nearly complete for its 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 schema fully documents the only parameter 'walletAddress' with a clear description ('Optional -- the paying wallet address...'). The tool description adds no additional parameter information, so it does not go beyond the schema. With 100% schema coverage, the baseline of 3 is appropriate.

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

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

The description clearly identifies the tool as a 'HIPAA compliance reference document' with specific attributes ('citation-grounded', 'generated once by Claude', 'served to every purchaser'). The verb 'served' and the specific HIPAA topic distinguish it from other compliance packs and APIs. This is a specific resource with a clear scope.

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

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

The description implies usage for obtaining HIPAA reference material with a caveat ('Informational reference material only, not legal or compliance advice'). However, it does not explicitly state when to choose this over alternative compliance packs like GDPR or tax packs, nor does it provide exclusion criteria. The payment instructions are operational rather than usage guidance.

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

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

No annotations are provided, so the description fully carries the behavioral disclosure burden. It explains the $5/call payment via x402, the HTTP 402 payment challenge on unpaid calls, and the required X-PAYMENT/PAMENT-SIGNATURE header for retries. It also explicitly states the informational-only, non-legal-advice nature. This goes beyond typical descriptions, though it doesn't detail 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 compact two sentences that front-load the primary action and then add necessary caveats (legal disclaimer, payment mechanics). Every sentence contributes value, with no redundant or off-topic 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 the simple schema (one optional param) and no output schema, the description covers purpose, payment behavior, and legal status. However, it omits specifics about the response structure or format (e.g., JSON shape, citations), which would be useful for an API tool. Still, it is fairly comprehensive for 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 input schema covers 100% of the single optional parameter (walletAddress) with a description, and the tool description does not add parameter-specific semantics. The schema already explains it as the paying wallet address if not inferrable from the payment. The baseline of 3 is appropriate because the schema does the heavy lifting.

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

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

The description clearly states the tool's function: 'Ask a real legal-research question, answered live and grounded in real, named legislation/case law/regulator guidance.' This uses a specific verb ('ask') and resource ('legal-research question'), making it distinct from sibling compliance packs and data APIs.

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

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

The description provides clear context for when to use the tool: when you need a live, grounded legal research answer. However, it does not explicitly mention alternatives or when not to use it, such as comparing to the sibling compliance packs. This is close to the 'clear context, no exclusions' level.

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 discloses the keyed payment behavior (unpaid returns HTTP 402, retry with X-PAYMENT or PAYMENT-SIGNATURE header) and notes 'keyless' access. This is significant behavioral context beyond simple data retrieval, though it does not cover return format or error handling beyond the 402 challenge.

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 sentences covering data source, scope, history, pricing, and payment behavior. Every clause adds value without redundancy, and the most critical facts are 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 covers the essential purpose, scope, and payment workflow, making it usable for an agent. However, it lacks details on the actual data format/fields returned and how the '1-30 days' history is selected given no date parameter exists in the schema. This leaves some ambiguity for full autonomous invocation.

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

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

The schema already provides full coverage (100%) for the single optional walletAddress parameter, including clarifying that it is only needed if not inferrable from settled payment. The description adds no additional parameter-level detail, but the schema is sufficient, so the baseline of 3 applies.

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 Crypto Fear & Greed Index data from alternative.me, with a specific scope (crypto market sentiment) and history window (1-30 days). It uses a specific resource and explicitly distinguishes from equities/FX sentiment, making it easy to differentiate 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 gives clear context on scope (crypto only, not equities/FX), which guides when to use this tool. It also explains the payment model (x402 protocol, 402 challenge, required header), which is essential for invocation. It does not explicitly name alternate tools, but the scope exclusion suffices for basic 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 provided, the description fully bears the burden of behavioral disclosure. It disclose critical behaviors: pay-per-call pricing, the exact HTTP 402 payment challenge on unpaid calls, and the required retry header. This is substantial, specific information that goes beyond a generic 'returns weather data' statement.

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 focuses on functionality, the second on payment behavior. It is concise and front-loaded, though the payment details are dense and might be streamlined. No word is wasted, but the depth of payment info slightly reduces readability.

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

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

Description is incomplete for a lightweight schema with no output schema. It fails to specify how to provide the location despite claiming 'by location', omits response structure details beyond 'JSON', and doesn't mention any units, time zones, or error handling beyond the 402 case. Given the limited schema, the description carries a heavy responsibility that it only partially fulfills.

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

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

The schema covers walletAddress with a description, but the main functional parameter—location—is absent from the schema and not elaborated in the description beyond 'by location'. With additionalProperties true, the description gives no guidance on what keys/properties to pass for location, leaving the agent to guess. The walletAddress nuance is the only added semantic, but the missing location spec is a significant gap.

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

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

The description clearly states 'Real-time and forecast weather data by location' with a specific resource and scope, distinguishing it from sibling tools like fx_rates_data_api or market_sentiment_dataset. It immediately conveys the tool's core function.

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 payment mechanics (pay-per-call, x402 protocol, retry with X-PAYMENT header) are explained, which is essential usage context. However, no explicit guidance on when to use this tool versus alternatives is provided, though the tool's niche makes it obvious. Usage is implied rather than directly contrasted with siblings.

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