Popdot AI

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

The description fully discloses the tool's behavior: it checks availability and returns a boolean. No side effects are mentioned, which is appropriate for a read-only check. With no annotations, the description carries the burden and does so well.

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 front-loaded with purpose and return value, followed by a helpful but slightly longer tip. It is concise overall, with no redundant sentences.

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 boolean check with two parameters and no output schema, the description covers the essential aspects. It could mention error cases (e.g., invalid domainId) but the schema descriptions mitigate that. Complete enough 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?

Both parameters have schema descriptions (100% coverage). The description adds value beyond the schema with a naming tip, enhancing understanding of the subdomain value, though it does not alter the core 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 verb ('Check') and the resource ('subdomain on a domain'), and specifies the return value (true if available). It distinguishes from siblings like search_domains (broader search) and rent_domain (post-check action).

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

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

The description implies usage before renting by stating 'Returns true if the subdomain can be rented.' It does not explicitly exclude alternatives or mention when-not-to-use, but the context and sibling names make the intended use clear.

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

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

With no annotations, the description carries full burden. It indicates a read operation ('Get'), but does not explicitly state it is non-destructive, idempotent, or safe to call repeatedly. However, the action is inherently query-like and the description is sufficient for an agent to infer 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 two clear sentences with no redundant information. It efficiently conveys the purpose and output, making it easy for an agent to parse quickly.

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 (2 params, no output schema), the description covers the key aspects: purpose, duration spec, and return content (cost, tier info, breakdown). It is adequately complete for a price quote tool, though more detail on 'tier info' could be beneficial.

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 descriptions for both parameters. The tool description adds minimal extra meaning beyond the schema (e.g., 'specific domain', 'given duration'). Baseline 3 is appropriate as description does not significantly enhance parameter 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 gets a price quote for renting a domain with duration, and mentions return values (cost, tier info, pricing breakdown). This distinguishes it from siblings like check_availability, rent_domain, search_domains, and try_domain, which cover availability, renting, searching, and testing respectively.

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 (get a price quote before renting), but does not explicitly state when to use versus alternatives like check_availability or rent_domain. No exclusion criteria or prerequisites are mentioned.

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

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

No annotations provided, so description carries full burden. Discloses authentication requirement, the two-step REST flow, and that payment happens on-chain. Could mention error cases or post-payment state but is sufficiently transparent for an AI agent.

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 informative with multiple sentences, but each sentence adds value. Front-loaded with main purpose. Could be slightly more concise but not overly verbose.

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 complexity of on-chain payment and no output schema, description explains the HTTP 402 sequence and return values (USDC amount, recipient). Adequate for an agent to understand the flow and expected response.

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 examples and clarifies the duration enum values, the role of intentMandateId, and the meaning of subdomain. Adds value beyond schema rephrasing.

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 the verb 'rent' and specific resource 'subdomain', with explicit details on payment method (USDC on Base x402). Distinguishes from sibling tools like check_availability, get_price_quote, search_domains, try_domain which serve 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?

Provides context about per-transaction payment and the x402 challenge/settle sequence. Implicitly suggests use after checking availability and price, but does not explicitly state when not to use this tool versus alternatives.

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

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

No annotations are provided, so the description must disclose behavioral traits. It mentions 'No auth required' and that it returns domains with pricing, tier, and availability. However, it does not mention rate limits, pagination, ordering, or error handling, which would improve transparency for a search 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 three sentences with no wasted words. It covers purpose, usage, return info, and authentication status efficiently. 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?

For a simple search tool with no output schema and four optional parameters, the description covers key aspects: purpose, usage context, return content, and authentication. It could mention default limit and result handling, but overall it is adequate.

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 100% description coverage, so the baseline is 3. The description does not add specific parameter details beyond what the schema provides; it only generally states what is returned. Thus, no extra 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 the verb 'Search' and the resource 'domains available for rent on Popdot AI.' It also distinguishes from sibling tools by specifying use cases for when a web address is needed (verifiable identity, temporary deployment, persistent presence).

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

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

The description explicitly says when to use this tool ('when an agent needs a web address') and describes what it returns. While it does not explicitly list alternatives, the context of sibling tools (check_availability, get_price_quote, rent_domain) provides implicit 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?

Describes the interactive screening process, 24-hour expiry, and that it returns a REST sequence. With no annotations, description fully covers behavioral 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?

Well-structured with separate paragraphs for overview, process, and usage. Slightly verbose but 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?

Given no output schema, description comprehensively covers return format (REST sequence, live URL), constraints (24h, one per agent), and process steps.

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

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

Single parameter (email) is explained with context for its use and fallback (operator's email). Schema coverage is 100%.

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 the tool provisions a free 24-hour trial subdomain via a two-phase process. Distinct from rental/payment siblings like rent_domain.

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 marks as entry point for new agents, advises use for temporary URLs or demos, and notes one-per-agent limit.

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