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

Annotations declare readOnlyHint=true and openWorldHint=true, so safety is covered; the description usefully adds that results are ranked by length/pronounceability and that availability is checked live across TLDs. It also implies network activity consistent with openWorldHint. It stops short of noting lookup limits (visible only in the 'check' schema description).

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 names the primary action first, then folds in strategies, ranking, and the availability/pricing follow-on. Dense but readable, with no filler 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 5-param tool with no output schema and annotations already covering the safety profile, the description conveys the core behavior (generation strategy, ranking, live availability, prices). Remaining gaps around lookup limits and per-parameter behavior are minor.

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 60%, and the description only maps loosely to params: 'product idea' aligns with idea and 'across TLDs' with tlds. It says nothing about count, check, or extraWords, leaving those to the schema. Baseline 3 is appropriate given partial 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?

States a specific verb ('Generate') and resource ('brandable name ideas'), plus the secondary function of availability checks and pricing. It lists the generation strategies, which makes the tool's output concrete. It does not name or distinguish itself from siblings like check_availability or tld_pricing, even though it overlaps with 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?

Usage is implied: use this when you have a product idea and want generated names plus availability/pricing. There is no explicit when-to-use or when-not-to-use guidance, and no routing to alternatives such as check_availability for tools that only need a lookup.

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 cover read-only and open-world behavior, and the description adds real value beyond that: the availability source (RDAP via IANA bootstrap) with a WHOIS fallback, and the important caveat that price is only returned 'where a verified public source has it', i.e. pricing can be absent. It stops short of mentioning rate limits, auth, or handling of lookups that fail both paths.

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 what the tool returns, then the calling modes. The technical parenthetical is compact and every clause carries information.

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?

Three parameters, no output schema, and no parameter descriptions, so the description is the only prose. It covers sources and the pricing caveat but says nothing about the shape of the response (per-domain availability status, how unavailable/invalid results appear) or whether the two input modes are mutually exclusive.

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 0%, so the description carries the burden, and it does explain the two calling modes (full domains vs. name plus tlds). It does not restate the concrete limits (40 domains, 12 tlds) or the character patterns, which the agent can only learn from the raw JSON 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+resource (check availability for domains) plus an explicit secondary output (first-year and renewal list price), and names the mechanism (registry RDAP with WHOIS fallback). It does not explicitly position itself against siblings like domain_lookup or tld_pricing, so the agent must infer the boundary.

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?

'Pass full domains, or a name plus tlds' describes how to fill the schema, not when to choose this tool over domain_lookup or tld_pricing. No conditions, exclusions, or alternatives are stated.

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, so the safety profile is covered. The description adds real behavioral context beyond that: the resolution source (Cloudflare DNS-over-HTTPS), that TTLs are returned, and that an email-auth SPF/DMARC check is included. It still omits failure behavior for nonexistent domains.

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?

One heavily front-loaded sentence that packs the resource, supported types, backend, and return extras without a wasted clause.

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?

There is no output schema, and the description usefully previews the return content (records, TTLs, SPF/DMARC verdict). The main remaining gap is the default behavior of the optional 'types' parameter, minor for a read-only lookup 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 description coverage is 0%, so the description has to carry parameter meaning. It names the supported record types, but those already appear as the enum in the schema, and it never clarifies what happens when 'types' is omitted (default all) or the constraints on 'domain'. It adds partial value but does not fully compensate.

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+resource ('DNS records for any domain') and enumerates the record types and resolution backend (Cloudflare DoH), so an agent knows exactly what it retrieves. It does not, however, differentiate itself from the similarly named sibling domain_lookup, leaving that distinction to inference.

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 never says when to pick this tool over siblings such as domain_lookup or ssl_certificate, nor any preconditions or exclusions. Usage is only implied by the phrase 'for any 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 already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds real behavioral context beyond that: what signal is returned for dropping domains (redemption, pending delete) and that marketplace links are for manual checking rather than any automated acquisition. No mention of rate limits or behavior for unregistered names.

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, no filler. The core value proposition (what fields you get back) is front-loaded, and the aftermarket-link caveat is correctly placed second.

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 no output schema, the description usefully enumerates the return payload, which is its strongest contribution. However, it leaves the includeRawWhois parameter and the behavior for unregistered domains unexplained, which are gaps an agent needs filled before calling.

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 0% and the description mentions neither parameter. The boolean includeRawWhois is completely undocumented, leaving the agent unable to judge the cost/size tradeoff of enabling raw WHOIS output. Only the obvious 'domain' input is implicitly conveyed.

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+resource: registration details for a domain, then enumerates the returned data (registrar, created/expiry dates, status codes, nameservers, drop signal, marketplace links). This clearly separates it from dns_lookup, check_availability, and ssl_certificate by content, though no sibling is named explicitly.

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?

Usage is only implied: look this up when you need registration/ownership data for an existing domain. There is no guidance on when to prefer it over check_availability or dns_lookup, and no stated prerequisites (e.g. domain must be registered, TLD must support RDAP).

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=false, so the safety profile is covered; the description reinforces this by explicitly denying registration, payment and reservation, and by disclosing the user-confirmation gate. It stops short of stating whether the returned link expires, is reusable, or how it should be presented to the user.

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?

Three tight sentences, front-loaded with the return value and the critical 'never registers/pays/reserves' scope before the calling condition. Every sentence carries a distinct, load-bearing fact.

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 no output schema, the description correctly takes on the burden of describing the return value ('a registrar search/checkout link'). Missing only minor operational detail such as link lifetime or whether registrar selection changes the link destination, which is not fatal for a read-only link generator.

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 only 33%, so the description must compensate, and it does so partially: it clarifies the domain scope ('this exact domain') and fully reinforces the userConfirmed=true requirement. However, the optional registrar parameter — including its porkbun/namecheap/cloudflare enum and what happens when it is omitted — is never addressed in either the description or 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 and resource — 'Returns a registrar search/checkout link for a domain' — and pins down the negative scope ('never registers, pays or reserves anything'), which cleanly separates it from a purchase/registration action. An agent can tell instantly this is a link-generation tool, not a transactional one.

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?

Explicit precondition: only call with userConfirmed=true, and only after the user has explicitly asked for a purchase link for this exact domain. That is both a when-to-call rule and a gating condition, leaving nothing 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?

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds the fact that this is a live network fetch and that trust is evaluated rather than assumed, but it says nothing about handshake timeouts, error behavior on untrusted/expired certificates, or any rate limits — meaningful gaps for an open-world network 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?

A single front-loaded sentence: verb and resource first, then the return contents. Every clause (issuer, validity, days left, SANs, trust, protocol) carries information an agent needs and nothing is padded.

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 no output schema, enumerating the returned fields is genuinely useful and largely covers the response. However, the tool takes a port parameter whose semantics (default port, behavior on connection failure, what happens when the certificate is untrusted) are entirely unaddressed, leaving an agent unable to call it confidently outside the default case.

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 0%, so the description must compensate and does not: 'domain' is only inferable from the phrase 'for a domain', and the 'port' parameter is never mentioned at all, leaving the agent unaware that non-443 ports are supported or how the default is chosen.

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 ('Fetch the live TLS certificate for a domain') and enumerates the exact fields returned (issuer, validity dates, days left, SANs, trust, protocol), which clearly separates it from siblings like dns_lookup or domain_lookup. It stops short of naming or contrasting with any sibling tool, so it is clear but not fully differentiated.

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?

There is no explicit when-to-use statement, no prerequisite, and no named alternative; the usage is only implied by the enumerated certificate fields. An agent can infer this is the tool for inspecting a live TLS certificate, but must guess whether it should prefer this over dns_lookup for any overlapping question.

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, and the description adds real value on top: prices are list prices (not checkout totals), USD-denominated, returned with source and timestamp, and unknown TLDs are explicitly reported as not found rather than estimated. That last clause is a meaningful anti-hallucination guarantee an agent needs. It omits rate limits and pagination/refresh behavior.

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 tightly written sentences, front-loaded with what is returned and followed by the edge-case guarantee. No filler, no restatement of the name.

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 single-parameter read-only lookup with no output schema, the description adequately covers what comes back (per-TLD registration/renewal/transfer prices, source, timestamp) and the not-found behavior, with annotations covering the safety profile. Only the input TLD string format remains unspecified.

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 0%, so the description must carry the parameter burden; 'per TLD' does indicate the array's meaning, but it never specifies accepted format (e.g. 'com' vs '.com'), case handling, or acknowledges the 40-item cap in the schema. It partially compensates but leaves format ambiguity.

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 resource and breakdown: 'Registration, renewal and transfer list prices (USD) per TLD', plus the data source (Porkbun's public pricing API). This is far more concrete than a generic 'get pricing' and is clearly distinct from the availability/DNS/SSL siblings, though it never names or contrasts those siblings explicitly.

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?

There is no when-to-use guidance: nothing says to call this before prepare_purchase_link or as a complement to check_availability, and no prerequisites or exclusions are given. The provenance note ('public pricing API') is context, not usage routing.

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