ResearchSprint

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

No annotations provided, so description carries full burden. It discloses key traits (SEO-optimized, word count, delivery time, payment in USDC on Ethereum) but omits prerequisites (e.g., holding USDC), confirmation process, or revision policy. Adequate but not comprehensive.

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 essential details (purpose, word count, delivery time, cost). No redundant information; each phrase 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?

No output schema, so description should clarify outcome. It mentions delivery but not format, confirmation, or process steps. For a simple ordering tool, it is adequate but lacks some context (e.g., how to pay, what happens after order).

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% with descriptions for email and topic. The tool description adds overall context but does not enhance parameter semantics beyond schema. Baseline of 3 is appropriate given moderate coverage.

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

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

The description clearly states the verb 'Order' and the resource 'blog post', specifying SEO-optimized, 1200+ words, same-day delivery, and cost. It distinguishes from sibling tools (competitor analysis, market research, technical summary) by focusing on blog post creation.

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 (need a blog post) but does not explicitly contrast with siblings or provide 'when not to' guidance. The sibling names offer differentiation, but the description lacks 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?

No annotations provided, so description carries burden. Discloses same-day delivery and payment requirement, which are critical behavioral traits. However, does not detail payment process, refund policies, or potential delays.

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, highly concise, front-loaded with key details: product, length, delivery time, payment. No superfluous 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?

No output schema; missing what happens after ordering (e.g., confirmation, report delivery process, payment steps). For a paid service, more context about transaction flow is needed.

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 has 100% description coverage, so the description adds minimal value beyond schema. 'topic' and 'email' are adequately described in schema; description repeats payment info but does not elaborate on 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?

Clearly states action (Order), resource (competitor analysis report), and key attributes: 1,500+ words, same-day delivery, $49 USDC on Ethereum mainnet. Distinguishes from siblings by specifying the exact deliverable.

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 siblings like order_market_research or order_technical_summary. Purpose is implied by name but lacks 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?

The description discloses key behaviors: same-day delivery, pay $49 USDC on Ethereum mainnet. However, it lacks details on payment failure handling, topic constraints, or error conditions, which are critical for a paid transactional tool.

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

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

The description is a single, concise sentence that immediately conveys the core function and key specifications. No wasted words, front-loaded with important 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?

No output schema is provided, and the description does not explain what the tool returns (e.g., a confirmation ID or success message). Given this is a paid service with financial transaction, the missing return value and error handling details make it incomplete.

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

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

Schema description coverage is 67%, and the description does not add any parameter-level insight beyond the schema. For example, it does not explain what constitutes a good 'topic' or valid 'email' format. Baseline score 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 states the tool's function: ordering a professional market research report with specific attributes (1,500+ words, same-day delivery, $49 USDC). It distinguishes itself from siblings like 'order_blog_post' by specifying the report type and pricing.

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 the tool is used for market research reports but does not explicitly state when to use it versus alternatives or when not to use it. No exclusions or alternative suggestions 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. Discloses non-obvious behaviors: same-day delivery, price point, payment method (USDC on Ethereum). Could mention if any confirmation or cancellation process exists.

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 conveys all essential info without redundancy. Highly efficient and front-loaded with 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 two-parameter tool with no output schema, the description provides sufficient detail on purpose, delivery timeframe, pricing, and payment method. No gaps 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?

Schema covers 100% of parameters with descriptions. Description adds no extra meaning beyond schema; it merely restates the topic and email. Baseline score 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?

Clearly states verb 'Order' and resource 'technical summary' with specific details (600-1,000 words, same-day delivery, $19 USDC). Distinguishes from siblings which are different order types.

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 technical summaries but no explicit guidance on when to use vs alternatives like order_blog_post or order_market_research. Context from sibling names helps but description lacks direct usage context.

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