Agent Preflight

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

The description adds behavioral context not in annotations: the cost of $0.25 USDC via x402 and the safety of inspection. It is consistent with annotations (readOnlyHint, destructiveHint). However, it could further disclose the payment mechanism details.

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

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

Two sentences, front-loaded with the primary action and use cases, followed by pricing. No redundant information, every sentence 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?

The description is adequate for a batch inspection tool with output schema present, but it omits explanation of how to provide the paymentSignature parameter and the optional intent field, which are relevant for correct usage. The pricing is mentioned, but payment details are incomplete.

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

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

With 0% schema description coverage, the description should compensate but does not explain the 'paymentSignature' parameter or the optional 'intent' field within the urls array. It only mentions the URL limit, leaving two critical parameters under-described.

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 (inspect up to five URLs), the resource (URLs), and distinguishes from the sibling 'preflight_url' by highlighting batch capability and specific use cases like agent swarms and multi-site workflows.

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 relevant use cases and implies that for single URL inspection, 'preflight_url' should be used. It also notes the pricing requirement. However, it does not explicitly state when not to use this tool or provide alternative guidance beyond the sibling 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?

Annotations already indicate idempotent, read-only, non-destructive behavior. The description adds valuable behavioral context: the tool requires payment ($0.05 USDC via x402), which is critical for an agent to know. It also enumerates what it checks, which goes beyond annotations.

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

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

The description is short (two sentences) and front-loaded with functionality. The second sentence about pricing is relevant but could potentially be integrated more concisely. Overall, it is efficient 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 complexity of the tool (multiple checks) and the presence of an output schema (not shown), the description covers the main functionality and notable side effects (payment). It does not need to explain return values due to the output schema, making it reasonably 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 67% (2 of 3 parameters described). The description does not add new meaning to parameters beyond what the schema provides. With high schema coverage, the baseline is 3, and no extra value is added here.

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 lists all the specific barrier types detected (reachability, redirects, login requirements, etc.), making the tool's purpose unambiguous. It uses a specific verb 'detect' and names the resource 'access barriers'. This distinguishes it from sibling tools like preflight_url or batch_preflight.

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

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

The description does not provide explicit guidance on when to use this tool versus alternatives. It mentions the price, which could be a factor, but no when-to-use or when-not-to advice. Context signals list sibling tools but the description lacks comparative usage instructions.

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

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

Annotations already declare readOnlyHint=true and idempotentHint=true, so the description adds pricing info ($0.05 USDC) and the types of changes detected. It does not contradict annotations, but does not disclose additional behavioral traits like rate limits or authentication requirements beyond the payment parameter.

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 with no wasted words. First sentence covers core functionality, second sentence adds pricing. It is appropriately front-loaded and 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?

Given the complexity (5 parameters, nested objects, sibling tools) and presence of output schema, the description covers the basic purpose but lacks details on payment flow, parameter relationships, and output structure. It is adequate but not fully self-contained.

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

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

With 0% schema description coverage, the description must compensate but only vaguely references 'prior snapshot or fingerprint' for two of five parameters. It does not explain url, intent, or paymentSignature, leaving significant gaps for agent understanding.

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 compares a URL with a prior snapshot or fingerprint to detect multiple types of changes (status, redirect, access, etc.). It distinguishes from siblings like check_access_barriers or extract_product_intelligence by focusing on change detection.

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 comparing current URL state to a previous snapshot, but lacks explicit guidance on when to use versus siblings or when not to use. The mention of pricing indicates a cost condition, but no when-to-use/when-not-to-use criteria are provided.

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

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

Annotations already declare readOnly, openWorld, idempotent. Description adds cost ($0.05 USDC via x402) and mentions recommended integration method, providing useful behavioral context beyond annotations.

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

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

Single sentence clearly states purpose, followed by price. No unnecessary words. Front-loaded and efficient.

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

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

With output schema present, description covers key purpose and cost. Could briefly explain that omitting paymentSignature returns a challenge, but overall adequate 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 67% (2/3 parameters described). Description does not add parameter meaning beyond what schema already provides. The intent parameter enum has no explanation in 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?

Describes a specific action: detect OpenAPI, Swagger, GraphQL, etc. Clearly distinguishes from sibling tools like preflight_url which check URL validity.

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 siblings or what prerequisites exist. Mentions price but no explicit 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?

Annotations already indicate read-only, open-world, idempotent, non-destructive behavior. The description adds valuable behavioral details about pricing ($0.05 USDC via x402) and the payment signature flow, which goes beyond annotations. No contradictions.

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 filler: first sentence lists extracted data, second sentence states pricing. Front-loaded with purpose, 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?

Has output schema and annotations covering safety. Description adds pricing and payment flow. Could mention that it requires a valid product URL, but overall complete for typical use. Minor gap: no mention of supported URL types.

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 67%, so baseline is 3. The tool description does not add extra meaning beyond the schema's parameter descriptions (url, intent, paymentSignature). The intent enum is self-explanatory from its values.

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 specific product data (name, price, currency, etc.) from a URL. The verb 'Extract' and resource 'product intelligence' are specific and distinguish it from sibling tools like preflight or API 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?

The description implies usage for extracting commerce data from URLs but does not explicitly guide when to use versus alternatives. Sibling tools exist but no comparative advice is given. Usage context is clear from purpose.

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

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

Annotations already show readOnlyHint=true, idempotentHint=true, openWorldHint=true, and destructiveHint=false, indicating a safe, idempotent, read-only operation. The description adds behavioral context: it costs $0.05 USDC via x402 (payment required) and lists the broad set of signals returned. No contradictions with annotations.

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

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

The description is one sentence plus a pricing note, efficiently conveying the tool's scope. It is front-loaded with 'Full URL intelligence'. Each listed item adds value, but the comma-separated list could be slightly harder to parse for agents. Still, concise and 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 complexity (many signals) and the presence of an output schema (per context signals), the description effectively covers the scope. It mentions pricing and a wide range of signals. It could benefit from a brief note on output format, but the output schema fulfills that role. Adequate for the context.

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

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

Schema coverage is 67% (url and paymentSignature have descriptions; intent has enum and default but no description). The tool description lists many signals but does not explain the 'intent' parameter's enum values or how they affect the output. It adds minimal meaning beyond the schema for the 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 it provides 'Full URL intelligence' covering many specific signals (reachability, redirects, page type, login, CAPTCHA, product data, API, PDF, etc.). The name 'preflight_url' and title 'Full URL Preflight' reinforce purpose. It distinguishes from siblings like batch_preflight (batch), check_access_barriers (specific), etc., by being the comprehensive analysis 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 implies this is the go-to tool for comprehensive URL analysis, listing many signals. However, it does not explicitly state when to use this versus sibling tools (e.g., for specific checks like access barriers, use check_access_barriers). No when-not or alternative guidance is provided.

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