Popdot AI

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

Annotations only set readOnlyHint=false and openWorldHint=true. The description adds substantial behavioral detail: it provisions a live 24-hour subdomain, returns a one-time claim token, and mentions 'on a clean pass' implying failure conditions. It does not detail reversible effects or failure responses, but it covers the main side effects beyond the 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 two concise sentences with no filler. The primary action and flow are front-loaded, and each sentence carries essential information about the tool's purpose and outcome.

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 only two simple parameters and an existing output schema, the description covers the invocation context, the precondition (trial from try_domain), and the result (provisioning subdomain and claim token). It does not explicitly state the prerequisite that a trialHandle from try_domain is required, but that is strongly implied. It also omits what to do with the claim token, but that is beyond the tool's scope.

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 both parameters (trialHandle and answers) are described in the schema. The description mentions 'Pass the trialHandle and your answers' but does not add syntax or format details beyond what the schema provides. It adds no new meaning for the parameters, 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 verb and resource: 'Answer the short safety questions for a trial opened by try_domain, then go live.' It distinguishes the tool from siblings like try_domain (opens trial) and rent_domain by specifying its role in the trial flow and the outcome (provisioning a live subdomain and returning a claim token).

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 establishes a clear use context: it is for trials opened by try_domain, implying it is the step after try_domain. It does not explicitly list alternatives or state when not to use, but the flow is unambiguous. A dedicated exclusion or alternative reference would push this to a 5.

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 (readOnlyHint=true, openWorldHint=true) already carry the safety profile, and the description adds the key behavioral contract — the boolean result signals rentability, which is exactly what an agent needs to interpret the call. No side effects, auth requirements, or rate limits are disclosed, but for a read-only check with an output schema these are minor gaps. No contradiction with annotations 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?

The purpose and return contract are front-loaded in the first sentence, and every sentence earns its place. The tip is slightly long but substantive — it explains why input choice matters and grounds the guidance with concrete examples rather than padding.

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 2-parameter read-only tool with a full output schema and safety-carrying annotations, the description covers purpose, return contract, and input strategy comprehensively. The only notable gap is sibling differentiation (try_domain near-miss), which leans more toward usage guidance than 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 100%, so the baseline is 3, but the description adds genuine value beyond the schema: it explains the conceptual relationship between domainId and subdomain ('the subdomain and domain read as one phrase') and gives concrete selection guidance with examples (iamyour.slopmommy.com). This helps an agent construct high-quality, contextually appropriate inputs, not just schema-valid ones.

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 a specific operation — checking whether a specific subdomain is available on a given domain — with an explicit return contract ('Returns true if the subdomain can be rented'). The subdomain-vs-domain scope cleanly distinguishes it from siblings like search_domains and rent_domain even without naming them, so an agent knows exactly what this tool does.

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 tip provides substantive guidance on how to choose good subdomain inputs ('pick a single lowercase label that is funny or fits the domain's theme') and explains the phrase-joining concept with examples, which helps an agent invoke it effectively. However, there is no explicit when/when-not guidance or alternative routing — notably it never mentions try_domain, which may overlap as an availability check, nor does it say to call this before rent_domain.

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 declare readOnlyHint and openWorldHint, covering safety. The description adds the return content (cost, tier, breakdown) beyond annotations. It doesn't disclose rate limits or edge cases, but annotations cover the main behavioral trait.

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, ~20 words, no redundancy. The action and return 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?

With a full schema and output schema present, the description covers the purpose and return adequately. It doesn't mention that a quote is not a reservation, but that's implied by the name and context. Minor 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?

Schema coverage is 100% for both parameters, so the description doesn't need to add param details. It restates the purpose but adds no new semantic insights over 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?

States a specific verb ('Get a price quote') with a clear resource (domain, duration) and purpose (rental pricing). It distinguishes from siblings like check_availability or rent_domain by focusing on pricing, though it doesn't explicitly name 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?

No guidance on when to use this tool versus alternatives such as check_availability or rent_domain. It doesn't state prerequisites, exclusions, or when a price quote is appropriate.

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?

Given annotations only signal readOnly=false and idempotent=false, the description supplies the critical behavioral model: a two-phase protocol where the tool returns an x402 payment challenge, the agent pays on Base, and a second call settles. It also discloses that no funded account is needed and that payment is a single on-chain transaction, which is exactly the kind of context annotations cannot convey.

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 dense and roughly front-loaded, with the core purpose and payment model in the first sentence followed by a scannable phase walkthrough. It contains minor redundancy ('Request an x402 payment challenge' restates the mechanism, and durations repeat the schema enum), but every other 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?

For a 10-parameter, two-phase paid operation, the description is remarkably complete: it covers authentication, the exact phase-1 fields, the on-chain payment step, phase-2 settlement fields, and the outputs. It also supplies enough procedural detail for an agent to call it correctly despite the schema's required-field list omitting the phase-1 payer fields.

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 documents each parameter at 100% coverage, so the description is not the primary source. It adds useful phase grouping—which parameters belong to the challenge call versus the settlement call—and reinforces that payerProof must accompany payerAddress and fromAddress must match the bound payer. This lifts it above the baseline but relies somewhat on schema-level detail.

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 opens with a specific verb and resource—'Rent a subdomain'—and immediately distinguishes the tool by payment model: per-transaction USDC on Base via x402, no stored balance. It also clarifies the end state (live rental plus Web Identity Credential), so an agent can tell it apart from sibling lookup/trial/price 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?

It clearly states when to use the tool (to rent a subdomain) and the prerequisites: agent authentication, an active intentMandateId, and a payer wallet. It does not explicitly name alternatives such as try_domain or check_availability, so it stops short of full exclusion-based 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?

Annotations already declare readOnlyHint and openWorldHint, but the description adds valuable context by stating 'No auth required' and specifying the return content ('pricing, tier, and availability'). This goes beyond the annotations without contradicting them, giving the agent practical knowledge about access and output.

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, each serving a distinct purpose: stating the action, providing usage context, and disclosing output and auth requirements. It is front-loaded with the core purpose, maintains brevity, and avoids redundancy. 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?

The description covers the essential aspects for a search tool: what it searches, when to use it, what it returns, and auth requirements. The output schema handles return value structure, and the parameter schema handles argument details. The only minor omission is explicit mention of pagination/sorting defaults, but this is not critical given the existing structured metadata.

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% coverage with clear descriptions for all five parameters (limit, query, emotion, maxPrice, minPrice). The tool description does not add additional parameter-specific semantics, but it sets expectations about the output (pricing, tier, availability) that relate to the price parameters. With full schema coverage, a 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 states a specific verb and resource: 'Search domains available for rent on Popdot AI.' It also lists three concrete use cases ('verifiable web identity, temporary deployment address, persistent web presence') that clarify what the tool accomplishes. This clearly distinguishes it from siblings like check_availability or rent_domain, 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?

The description explicitly says 'Use this when an agent needs a web address' and enumerates the scenarios. This provides clear context for when to invoke the tool. It does not explicitly name alternatives or exclusions (e.g., 'use check_availability for specific domain checks'), but the 'when' guidance is strong enough to avoid ambiguity in most 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?

Annotations only say readOnlyHint=false and openWorldHint=true, so the description carries the behavioral burden. It does this thoroughly: it discloses the 24-hour expiry, free trial nature, safety-question gate, returned live subdomain and one-time claim token, and the requirement for a live external https target because content hosting is unavailable. This is rich and accurate behavioral context beyond the 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 front-loaded with the core purpose and uses compact sentences for constraints. There is minor redundancy between 'Free for 24 hours' and 'Expires in 24 hours,' but the overall structure is clear, scannable, and free of 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 9-parameter tool with an interactive safety-question flow, the description covers the lifecycle, constraints, and follow-up mechanism reasonably well. It mentions retry-relevant concepts through the schema and has an output schema available. It does not explicitly describe the multi-turn branching or name answer_trial_canary as the retry sibling, which would make it fully 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 description coverage is 100%, so the structured schema already documents all nine parameters. The prose adds only light value by restating the need for a goal and an https target. It does not clarify retry mechanics or enum semantics beyond what the schema already provides, so the 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 opens with a specific action and resource: 'Launch a memorable public URL for something you built.' It clearly frames try_domain as a free 24-hour trial with no signup or wallet, and contrasts it with a paid rental. An agent can easily tell this apart from siblings like rent_domain, search_domains, and check_availability.

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 usage context: use it to demo a deployment with a real address before committing to a paid rental, and notes the one-trial-per-agent constraint. It does not explicitly name sibling alternatives like check_availability or answer_trial_canary, but the retry-related parameters imply a follow-up flow. A direct sibling reference would make the guidance fully explicit.

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?

Beyond the annotations (readOnlyHint=false, idempotentHint=false), the description discloses meaningful behavior: the claimToken is one-time, a Nascent Sigil identity is minted, a payment challenge is returned rather than completing payment, and no human is required. It also explains the optional sponsor-URL flow, giving the agent a clear model of side effects and next steps.

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 and front-loaded with the core purpose. It is somewhat dense and uses rhetorical phrasing ('No wallet yet?'), but every sentence earns its place by covering the main flow and both optional modes without unnecessary 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?

Given the 7-parameter complexity, presence of an output schema, and annotations, the description is complete. It covers the precursor (try_domain claimToken), the two usage modes, the payment challenge outcome, and the sponsor fallback. Nothing critical is missing for an agent to decide when and how to call 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?

Schema coverage is 100%, so the baseline is 3, but the description adds cross-parameter context: it maps 'if you supply a wallet' to payerAddress/payerProof, 'No wallet yet?' to requestSponsorUrl, and explains the relationship between claimToken and try_domain. This goes beyond the raw schema descriptions by showing how parameters fit into the workflow.

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 opens with a specific action—'Turn a free trial into your own paid, persistent address in one call'—and then details the mechanism: redeeming a claimToken from try_domain with a BYO Ed25519 publicKey to mint an identity and optionally receive a payment challenge. This clearly distinguishes upgrade_trial from its siblings like rent_domain and try_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?

The description explicitly ties the claimToken to try_domain, establishing the precondition for use, and lays out two paths: with a wallet for self-payment, or without a wallet for a sponsor URL. It does not explicitly say when to use rent_domain instead, but the context strongly implies this tool is for upgrading an existing trial.

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