Popdot AI

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

Annotations are minimal (readOnlyHint false, openWorldHint true). The description adds important context: it provisions a live 24-hour subdomain, returns a one-time claim token, and mentions a 'clean pass' implying possible failure. This goes beyond annotations, though it does not disclose all side effects like irreversibility.

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 fluff, clearly front-loading the purpose and outcome. It is efficient and easy to parse.

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 main flow and result, and with an output schema available, return values are documented elsewhere. It could mention failure conditions or relationship to upgrade_trial more explicitly, but it is largely complete for an agent to understand the tool's role.

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 each parameter having a description. The tool description only mentions passing trialHandle and answers, which matches the schema. It does not add extra format or usage details beyond what the schema provides, so 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 states a clear action: answer safety questions for a trial opened by try_domain, then go live. It specifies the resource (trial) and the outcome (provision subdomain, claim token). It distinguishes from siblings like try_domain and upgrade_trial by describing the specific flow.

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 implies usage after try_domain, but does not explicitly state when not to use or mention alternatives like upgrade_trial. The context is clear that it's for answering safety questions, but there is no exclusion criteria.

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 openWorldHint=true, covering safety and world-state assumptions. The description adds return semantics ('returns true if rentable') but little beyond that—no mention of how authoritative the check is or what factors could make availability change.

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 compact and front-loaded: purpose first, return behavior second, helpful tip last. The examples and phrase guidance are not redundant and earn their 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 simple two-parameter, read-only availability check with a rich input schema and output schema present, the description supplies enough context. No critical calling information appears missing.

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 schema already explains domainId and subdomain clearly. The description's tip adds product-specific flavor about choosing a single lowercase label, but it does not materially clarify parameter meaning beyond what the schema already provides.

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 clear verb+resource: checking whether a specific subdomain is available on a domain, and explicitly says it returns true if rentable. It is distinct from search_domains and rent_domain at a glance, but it does not explicitly contrast itself with try_domain, leaving some potential overlap.

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 usage context is implied: check availability before renting a subdomain. However, there is no explicit guidance on when to use this tool versus try_domain or when not to use it. The tip focuses on choosing a good subdomain rather than tool selection.

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 openWorldHint=true, so the description does not need to restate safety. It adds useful behavioral detail about the return (rental cost, tier info, pricing breakdown) beyond the schema. It does not cover quote expiry or price variability, but openWorldHint covers external changes.

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?

A single, front-loaded sentence that clearly names the action and result. Every clause adds value with 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?

For a read-only price-quote tool, the description, schema, and annotations together cover purpose, inputs, and output. It could mention that quotes may become stale, but that is already implied by openWorldHint, making this 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?

Schema description coverage is 100%, so both domainId and duration are fully documented with formats and examples. The description adds no parameter-specific meaning, so the baseline 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 states a specific verb (get), resource (price quote), and scope (renting a specific domain for a duration). It clearly distinguishes itself from siblings like rent_domain (actual rental) and search_domains (finding domains) without requiring schema inspection.

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 phrase 'for renting a specific domain' implies this tool is a pre-rental pricing step, but it never names an alternative or states when not to use it. No explicit comparison with sibling tools like rent_domain or check_availability, leaving the workflow to inference.

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 declare readOnlyHint=false and openWorldHint=true. The description adds process detail: opens a trial, asks safety questions, returns a live subdomain and claim token on success, and notes expiry and per-agent limit. No contradiction. However, it does not disclose the two-step retry flow for safety questions.

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?

Four sentences with no wasted words. The core purpose is front-loaded, then process, then use case and limits. Each 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?

Complex tool with 10 parameters and a two-step flow (safety questions requiring a retry call). The description mentions safety questions but does not explicitly say you must call again with trialHandle and inputResponses. This critical usage detail is only hinted at via the schema's retry-only parameters. Since an output schema exists, return values need not be described, but the retry mechanism is essential for correct 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?

Schema description coverage is 100%, so baseline is 3. The description highlights the two key parameters (goal and target) but adds little beyond the schema descriptions, which already explain their purpose. No extra meaning for retry-only params is provided in the 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?

States a specific action (launch a memorable public URL), the resource (a trial subdomain), and distinguishes from siblings: it mentions 'trial', 'one-time claim token', and 'before a paid rental' to differentiate from rent_domain and upgrade_trial. No ambiguity.

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 says to use it to demo a deployment before a paid rental, which implies rent_domain for permanent use. Mentions the one-trial-per-agent limit and 24h expiry. Could be more explicit about when not to use, but the context is clear enough.

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 non-obvious behavior that the annotations do not: the exact signed message format (popdot-claim/1\n{timestamp}\n{sigilId}\n{sha256 hex of claimToken}\n{publicKey}), the 30-day claim-token expiry, and the fact that supplying a wallet changes the response to an x402 challenge while omitting it still yields the identity. These details go well beyond the annotations and do not contradict them.

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 but every sentence carries a distinct fact: purpose, signing recipe, token expiry, and wallet-optional behavior. It is front-loaded and has no filler, though the embedded signing-message block makes it long and somewhat monolithic.

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 high-complexity tool with an output schema, this is nearly complete: prerequisites, cryptographic message format, expiration, and the dual wallet/no-wallet behavior are all covered. It could add explicit error conditions (e.g., expired or invalid token) and a pointer to rent_domain for non-trial cases, but nothing essential is missing.

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 already describes every parameter (100% coverage), so the baseline is 3. The description adds real semantics by tying claimToken, sigilId, publicKey, timestamp, and signature into a concrete signing protocol and by explaining the optional payer fields as an alternative wallet path. It does not elaborate on payerProofIssuedAt, but the schema covers it.

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 'Turn a free trial into your own paid, persistent address...' and then explains that it claims the trial-created Nascent Sigil identity via Ed25519 proof. This clearly identifies a distinct action from siblings such as rent_domain or try_domain, even though the alternative is not named.

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 specifies when the tool applies: after a trial has been created ('its sigilId came back when the trial went live'), using the one-time claimToken from try_domain / answer_trial_canary, and within 30 days after the trial ends. It also gives conditional wallet/no-wallet paths. It does not explicitly say 'use rent_domain for fresh domains' or list exclusions, so it stops short of a 5.

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