IGNOREO

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

Annotations already cover read-only safety (readOnlyHint=true) and open-world scope, so the description adds beyond that by disclosing a concrete cost model: $0.003 per call in USDC via x402, with no charge on failure. That pricing/failure policy is genuinely useful for an agent deciding whether to invoke. It omits any note on latency or external-service dependency, keeping it short of a 5.

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 short sentences, cost information front-loaded appropriately alongside purpose, and no filler. There is a run-on splice ('GNU Backgammon Costs') that slightly blurs the purpose/cost boundary, but the total length is economical.

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 13 parameters (nested board, mutually exclusive board/position_id and match_id/plain-field pairs) and no output schema, the description is thin: it never indicates what the result looks like (ranked moves with equities, cube decision verdict) or how the two input styles interact. The rich schema compensates for most input gaps, but return-shape ambiguity keeps this at minimum viable.

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 85%, so the schema already documents board, dice, cube, score, match_id, position_id, etc. The description adds no parameter-level detail (e.g., no clarification of the $0.003 applies per analysis or per move, no note on depth tradeoffs). Baseline 3 is appropriate when the schema does the heavy lifting.

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 (analyze) and resource (backgammon position), and enumerates the two analysis modes: best checker plays for a roll, or the cube decision. It is clearly distinguished from the only near-sibling, chess_analyze, by game. However, the sentence largely restates the title verbatim rather than enriching it.

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 the two operating modes ('for a roll, or the cube decision'), which hints that the dice parameter drives checker-play analysis while its absence triggers a cube decision. There is no explicit when-to-use/when-not guidance, no prerequisites, and no mention of chess_analyze as the alternative for a different game.

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 cover readOnlyHint and openWorldHint (safe read, external engine). The description adds genuinely new behavioral facts beyond that: the $0.003 USDC cost, the x402 payment mechanism, and that failures are not charged. This is real value for an agent deciding whether to spend money, though it says nothing about latency, rate limits, or error modes.

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?

Short and front-loaded on the core purpose, but the opening clause is a verbatim restatement of the title, which is pure duplication. The pricing sentence is compact and earns its place, but the definition is terse to the point of omitting useful detail.

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 4-parameter, zero-required tool with no output schema, the description never describes the return shape (engine lines, evaluations, depth reached) and does not clarify the fen/moves relationship. Payment behavior is covered, but the agent still lacks enough to interpret results or pick inputs confidently.

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 ranges, defaults, and notation formats (FEN, SAN 'Nf3', UCI 'g1f3') are already documented in the schema. The description adds no parameter meaning at all, which is the baseline-3 case when the schema does the heavy lifting.

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 ('Best moves for a chess position, from Stockfish'), so the agent knows it performs engine-backed position analysis. The sibling list contains no other chess tool, so no differentiation is needed. However, the wording largely duplicates the title verbatim rather than adding specificity about the output.

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 guidance on when to call this versus anything else, nor on the choice between supplying 'fen' or 'moves' (the schema even notes 'or use moves' without explaining precedence). The payment trigger is the only contextual cue, and it is about cost rather than usage.

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 cover the safety profile (readOnlyHint, openWorldHint), but the description adds real behavioral context: it is free with no payment, it uses a specific resolver, and it discloses NXDOMAIN handling ('exists: false'), which is meaningful error semantics an agent would otherwise have to discover empirically.

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 short sentences, front-loaded with the core action and method before the type list and the cross-sell. The final 'Next step (paid)' sentence is mildly promotional but does serve as genuine routing information, so it earns most of 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?

With no output schema, the description carries the burden of return semantics and does address the most important case (nonexistent names reported as exists: false). It omits any description of the shape of a successful record response, which is a modest remaining gap for a 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 coverage is 50%: 'name' is documented in the schema, while 'type' has only an enum and default with no prose. The description re-lists the same eight record types already present in the enum, so it adds confirmation rather than new meaning; the default and per-type semantics are left to the schema. 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?

States a specific verb and resource ('DNS records for a name'), names the resolution method (Cloudflare 1.1.1.1 over DNS over HTTPS), and enumerates the supported record types. It also distinguishes itself from the nearby email_check_check sibling by scoping itself to raw DNS records rather than SPF/DMARC/DKIM analysis.

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?

Gives clear routing context: this is the free option, and if the goal is verifying email-domain setup the agent should use Email Check (paid) instead. It does not state an explicit when-not-to-use beyond that, but the alternative is named with the condition that selects it.

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 cover readOnlyHint and openWorldHint; the description adds genuinely useful behavior context beyond them: the operation is free/no payment, the data comes from the registry over RDAP, and some country TLDs (e.g. .de) return no data at all. That data-availability limitation is the kind of trait an agent needs and would not get from 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?

Front-loads the key fact ('Free, no payment'), then the resource, then the caveat, then the cross-sell. Every sentence carries information, though the rhetorical 'Want a verdict, not just a date?' upsell is slightly promotional where a plain pointer to Site Check would do.

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 and minimal annotations, the description does the necessary work: it lists the returned fields and warns that coverage varies by TLD. For a single-parameter read-only lookup this is essentially complete; only edge-case input formatting is left to the schema.

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?

Only one parameter and schema coverage is 100%, so the schema already documents that it takes a domain or website address. The description adds no formatting or normalization guidance (e.g. whether 'https://' or subdomains are accepted), 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?

States a specific verb (lookup) and resource (domain registration data from its registry via RDAP) and enumerates the exact fields returned: registration date, age, expiry, registrar, status. It also distinguishes itself from the paid sibling by naming Site Check, so an agent can separate it from site_check_check and dns_lookup_lookup without opening any schema.

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?

Gives clear context for use — free registry registration data — and explicitly names the alternative (Site Check, paid) and the condition that selects it (wanting a verdict/scam signals rather than a date). There is no explicit 'when not to use' statement, but the free-vs-paid split and the '.de publishes none' caveat cover the main routing decisions.

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 cover the read-only and open-world profile, and the description adds genuinely new behavioral facts: a $0.003 per-call charge in USDC over x402, and that failures are not billed. That payment/cost disclosure is material for an agent deciding whether to invoke. It still omits what happens on partial/invalid input, but the added cost semantics are substantive.

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?

It is short and front-loaded, but the first clause is essentially the title verbatim and earns little. The pricing sentence is the only content carrying new information, so half the text is redundant restatement rather than waste-free concision.

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, so the description must explain what a caller gets back for 'how well protected' (a grade? SPF/DKIM/DMARC detail?) and it does not. It also fails to state that at least one of email or domain is required despite zero required parameters. Cost is covered, results are not.

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 both parameters are documented with their own descriptions (including the note that only the domain is checked). The description adds nothing about the email/domain relationship or that one of the two must be supplied, 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 conveys the resource being assessed (a domain's email protection, from owner and recipient perspectives), which is more than a restated name. But it is a noun phrase with no verb and never says what the tool actually returns or computes, so it is only loosely distinguishable from siblings like site_check_check or id_check_verify.

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 guidance on when to use this tool versus alternatives, no prerequisites, and no exclusions. The only usage-like content is billing information, which tells the agent cost rather than 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?

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds real behavioral context: the data source (ECB daily euro reference rates), currency coverage (~30), and that it is free with no payment — useful since siblings like marketplace_buy imply cost. It stops short of stating rate freshness semantics or rate limits.

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, zero waste, with the most decision-relevant fact (free, no payment) front-loaded. Both sentences carry information not present in the structured fields.

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 carries some burden for return behavior; it hints at a converted value versus a full rate list, but does not specify the response shape or whether the rate date is returned. For a simple 3-parameter read-only tool, this is close to sufficient.

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 67%, and the undescribed parameter is `amount`, which the description never addresses — it is unclear whether amount applies to listing mode. The description does reinforce that `from` acts as the base currency, adding marginal meaning, but does not compensate for the gap.

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?

Names a specific verb (converts) and resource (amounts, exchange rates) and covers both operating modes: conversion and full rate listing. Sibling tools are unrelated domains, so no disambiguation is needed, and the scope (ECB euro reference rates, ~30 currencies) is stated up front.

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 two modes are named, which implies that supplying a target currency converts while omitting it lists all rates, but the description never states this condition explicitly nor names prerequisites. It reads as capability description rather than when-to-use 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 cover read-only and open-world behavior, and the description adds non-trivial context beyond them: the $0.003 USDC x402 cost and the 'not charged if it fails' refund policy, which materially affects whether an agent should call it. It stops short of explaining how the check is performed or what a negative result looks like.

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 compact sentences with the purpose front-loaded ahead of pricing, and no padding. The redundant 'ID Check:' prefix merely echoes the name/title, which is the only wasted token.

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 should clarify what a positive versus negative result looks like and whether 'fails' means a false verification or a transport error. Params and the safety profile are covered, but result semantics are missing for a tool whose whole value is a yes/no answer.

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 all three parameters (domain, address, network with its enum) are already fully documented in the schema. The description adds no parameter-level detail such as accepted domain formats or network override behavior, 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 gives a specific verb and resource: it checks that a domain declares a given payment address as its own. This distinguishes it from siblings like site_check_check or email_check_check. The phrasing 'declares ... as its own' leaves the verification mechanism ambiguous, but the intent is unambiguous.

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 through the schema wording ('The website or API you are about to pay'), which suggests a pre-payment trust check. The description itself offers no explicit when-to-use, when-not-to-use, or alternative tool. Adequate but with a clear gap.

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 mark it as a write operation and open-world, but the description adds useful behavioral details: cost ($0.001 USDC), x402 payment, and no charge on failure. It does not explain lock contention, expiry handling, or return 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?

The single-sentence description is front-loaded with the lock action and TTL details, followed by cost and failure terms. It is efficient, though the cost clause could be slightly compressed.

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 and annotations covering only safety, the description leaves several gaps: it does not describe return values, lock contention behavior, or authentication requirements beyond the schema's workspace_secret hint. For a paid write operation, more context 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 coverage is 83%, so parameters are mostly documented. The description adds the TTL default (300) and max (3600), which enriches the ttl_seconds schema. However, it provides no meaning for workspace_id, workspace_secret, holder, resource, or request_id beyond what the schema already states.

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 ('Take a lock') and resource ('on a resource'), includes the TTL default and max, and distinguishes itself from siblings like lockbox_release and lockbox_renew by naming the lock-acquisition 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?

No guidance is provided on when to use this tool versus alternatives such as lockbox_renew or lockbox_release. The pricing and failure policy are stated, but timing and comparative context are absent.

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 carry readOnlyHint=false and openWorldHint=true; the description adds materially more: the secret is returned once (non-retrievable), and there is a per-call cost of $0.01 USDC via x402 with no charge on failure. That cost and one-time-secret behavior are exactly the traits an agent needs before invoking. It still omits any auth/credential requirements, so not a 5.

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 short sentences, front-loaded with the operation, then the return values, then the pricing. Every sentence carries distinct information with no redundancy or 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 zero-parameter creation tool with no output schema, the description covers the return payload (workspace_id, workspace_secret shown once) and the monetary cost, which is the key completeness gap an agent could otherwise miss. The absence of any mention of prerequisites or auth is the only remaining shortfall.

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 tool takes zero parameters, which sets the baseline at 4; there are no arguments whose semantics could be misread. Schema coverage is 100% and empty, so no compensating text is required.

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 ('Create a workspace') with a clear primary outcome, so an agent can identify the operation. It does not, however, distinguish itself from the overlapping sibling lockbox_acquire or explain the boundary between the two, leaving some sibling 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?

There is no guidance on when to use this versus lockbox_acquire, lockbox_renew, or the other lockbox creation/lifecycle tools. The only implied usage is 'create a workspace,' which the agent must infer from the operation itself rather than any stated condition or exclusion.

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?

Adds genuinely useful behavior absent from the annotations: a $0.001 USDC charge per call over x402, and that failures are not charged. readOnlyHint=false combined with "Read" is best read as reflecting the on-chain payment rather than a data mutation, so this is not a contradiction, though the tension is left unexplained.

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 short sentences, front-loaded with the action and then the pricing constraint; nothing is wasted. Minor redundancy in restating the tool title verbatim.

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, so the description should at least hint at what a shared value looks like when returned or what errors/statuses appear on failure. Combined with undocumenteed key/workspace_id parameters and no usage guidance, the definition is under-specified for a paid authenticated call.

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 only 50%: key and workspace_id have no descriptions in either place, and the description does not compensate. The workspace_secret parameter documents that it comes from lockbox_create, but nothing links the description to key format or workspace_id sourcing.

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 ("Read a shared value") under the Lockbox namespace, which is clear against siblings like lockbox_set or lockbox_release. It does not, however, differentiate itself from lockbox_notes or lockbox_status, which could also be read-oriented.

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 indication of when to call this versus lockbox_notes, lockbox_status, or lockbox_acquire, and no mention of retry semantics despite request_id existing for that purpose. The agent gets no routing 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=false and openWorldHint=true, so the write/open-world nature is covered. The description adds genuine non-obvious context: the $0.001 USDC x402 charge and that failures are not billed. However it never explains what leaving a note actually does (who sees it, persistence, visibility to lockbox_notes readers).

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 short sentences, front-loaded with the price detail. The first sentence is a pure restatement of the title, so roughly half the text does no work.

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 mutation tool with no output schema and only partial schema coverage, the description leaves core gaps: it never says what a note is, who can retrieve it, or how 'to'/'from' route it. The pricing note is useful but the agent still cannot confidently predict the tool's effect.

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 only 50%, so the description is expected to compensate, and it does not mention any parameter. The 'to', 'from', and 'workspace_id' fields are undocumented in both places, leaving the handoff-recipient semantics unexplained.

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 restates the title verbatim ('Lockbox: Leave a handoff note'), which does convey a verb and resource but adds no elaboration of its own. It doesn't distinguish this write-a-note tool from the sibling lockbox_notes (read) beyond what the name/title already imply. Vague-but-adequate.

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 and no mention of alternatives, which matters here because the sibling lockbox_notes is an obvious near-neighbor that could be confused with lockbox_note. Nothing tells the agent when to prefer one over the other.

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 behavior the annotations do not: a per-call charge of $0.001 in USDC settled over x402 and a no-charge-on-failure guarantee, which materially affects how an agent should retry. It does not cover auth mechanics, rate limits, ordering, or pagination. Note the mild tension between 'Read' and readOnlyHint=false, which the paid side effect plausibly explains.

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 short sentences with the scope stated first and the billing caveat second; nothing is padded. It is essentially the title plus a cost clause, so it is efficient but thin rather than richly 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?

For a five-parameter, no-output-schema tool, the definition leaves out default limit, result ordering, and pagination behavior, all of which an agent needs to call it correctly. The absence of an output schema excuses not describing return values, but the call-shape gaps remain.

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%: limit, request_id, and workspace_secret are documented in the schema, but `to` has no description there. The description's 'optionally only those for one recipient' is the only place that gives `to` meaning, so it adds some value, though `workspace_id` and default-limit behavior remain unexplained.

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 (read recent notes) plus the optional recipient scope, so the operation is unambiguous. It does not, however, distinguish itself from nearby siblings such as lockbox_note or lockbox_get, leaving the agent to infer which read variant to pick.

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 only usage hint is the parenthetical that recipient filtering is optional. There is no when-to-use guidance, no mention of the alternative note-reading or lockbox_get siblings, and no stated prerequisites beyond the pricing note.

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=false and openWorldHint=true, but the description adds genuinely useful context the annotations do not: a per-call cost of $0.001 in USDC via x402 and that failures are not charged. It still omits what happens to the lock on success, permission requirements, and behavior when the lock is not held by the caller.

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?

Very short and front-loaded: purpose first, then billing terms. No filler sentences. Minor flaw is the run-on between the purpose clause and the cost clause, which would read better as two 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 non-read-only tool with no output schema and 40% parameter coverage, the description covers billing but not the essentials: success state, error behavior, or idempotency expectations (the schema's request_id note helps only partially). Some necessary context is present, but real gaps remain.

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 40% (lock_id, resource, and workspace_id are undocumented), and the description adds no parameter meaning at all. With four required parameters, the description should have compensated for the coverage gap but does not.

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 gives a specific verb ("Release") and resource ("a lock you hold"), and the qualifier "you hold" adds a real constraint beyond the bare tool name. However, it is essentially a restatement of the title and does nothing to differentiate it from siblings such as lockbox_acquire, lockbox_renew, or lockbox_status.

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 guidance on when to call this versus lockbox_renew (extend instead of free) or lockbox_status (inspect first). No prerequisites or failure conditions are stated beyond the billing note. The agent must infer the entire usage context from the tool name.

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, so the description adds real value by disclosing the pricing model (USDC over x402, $0.001 per call, not charged on failure). It still omits what a renewal actually does (TTL reset semantics, caps, failure modes) and any auth notes beyond the schema's mention of workspace_secret.

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 short sentences with no filler, but the first is a verbatim repeat of the title, so roughly half the text carries no new information. Front-loading is fine but content density is low.

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 6-parameter mutation tool with only partial annotations and no output schema, the description should cover renewal semantics, the meaning of lock_id/resource, and error behavior. Only the pricing aspect is addressed, leaving most operational questions unanswered.

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?

With 6 parameters at 50% schema coverage, three parameters (lock_id, resource, workspace_id) are documented in neither the schema nor the description. The description provides no parameter meaning at all, so it fails to compensate for the coverage gap.

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 ('Extend a lock') and the qualifier 'you hold' implicitly separates it from lockbox_acquire/lockbox_create. However, it largely restates the title verbatim and never names a sibling or the concrete effect of the extension.

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?

'Extend a lock you hold' implies the precondition that a lock already exists and is owned by the caller, which is usable guidance. There is no explicit when/when-not, no mention of lockbox_acquire as the way to obtain a lock, and no indication of renewal limits or 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?

Goes beyond the annotations by disclosing cost mechanics ($0.001 per call in USDC via x402) and that failures are not charged, plus the overwrite-refusal semantics of if_version. Annotations only give readOnlyHint=false and openWorldHint=true, so the pricing and failure-charging details are genuinely additive; auth expectations are left to the schema.

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 short, front-loaded sentences that each carry load. Minor deduction because the description restates the title verbatim, so the 'Lockbox: Write a shared value' clause is duplicated 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?

For a single-value write with no output schema, the description covers write semantics, concurrency, and billing. It stops short of saying what a version conflict returns or whether the call is idempotent under request_id reuse, which an agent retrying a paid operation would want to know.

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?

With 67% schema coverage, the schema already documents value (16 KB), if_version ('Version you last read'), request_id (retry id) and workspace_secret. The description adds the key semantic the schema only hints at: if_version causes refusal rather than overwrite, which changes how an agent should set 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?

States a specific verb+resource ('Write a shared value') and immediately scopes it with the optimistic-concurrency behavior. It is clearly distinguishable from lockbox_get (read), lockbox_note/notes (annotation), and lockbox_create (provisioning), so an agent can pick the right sibling without opening schemas.

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?

Gives a concrete condition for the optional parameter: pass if_version to refuse overwriting a change you haven't seen. That is real when-to-use guidance, but it never names an alternative tool or explicitly excludes scenarios (e.g. when to prefer lockbox_note).

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 adds substantial non-obvious context beyond the annotations: a $0.001 USDC charge per call over the x402 protocol, and no charge on failure. It omits any note that a workspace must exist and that workspace_secret authentication is required, but the cost/payment disclosure is genuinely valuable.

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?

It is short, but the first sentence is a verbatim restatement of the title and runs directly into the pricing sentence with no punctuation, producing a run-on. The pricing information is front-loaded effectively, but the title duplication is wasted space.

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 should describe the shape of the returned lock/state/note data, and it does not. It covers the critical cost dimension well, but authentication prerequisites and return-format expectations are left implicit for a three-parameter, paid 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?

The description says nothing about any of the three parameters. Schema coverage is 67% (workspace_secret and request_id are documented in-schema, workspace_id is not), so the schema carries most of the load and the description neither compensates nor adds value here.

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 ('List') and the resources returned: current locks, state keys, and note count. This is more informative than the bare name, but it does not differentiate itself from close siblings like lockbox_get or lockbox_notes, leaving the agent to infer which summary view this is.

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 when-to-use or when-not-to-use guidance is given, and no alternative sibling is named. The only conditional content is the billing policy ('Not charged if it fails'), which is cost-related rather than selection 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?

With no annotations, the description carries the full behavioral burden, and it does disclose the return payload (file, sha256, re-download link) and a repeat-download policy tied to listing status. It omits material facts for a purchase tool: cost/payment handling, authorization requirements, and what happens if the package was already bought or is delisted.

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 efficient sentence that front-loads the action and resource, then layers in the definition and return behavior. 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?

With no output schema, the description correctly explains the return values (file, sha256, download link) and the re-download policy, so an agent knows what it gets back. It is thin on the transactional side (cost, auth, already-owned behavior), but is otherwise sufficient for a one-parameter 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?

Only one parameter exists and schema description coverage is 100%, so the schema already documents 'id'. The description's 'by its listing id' merely restates the schema ('Listing id of a package') without adding format, source, or lookup guidance, making the baseline 3 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?

States a specific verb ('Buy') and resource ('a package'), and parenthetically defines what a package actually is (a file: skill, prompts, scripts as text), which helps an agent distinguish this from the lockbox_* siblings. It does not explicitly contrast itself with marketplace_search or marketplace_call, so sibling differentiation is only partial.

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 'by its listing id' implies you must first obtain an id (presumably via marketplace_search), and 'once' hints at one-time purchase semantics. However, there is no explicit statement of when to use this versus marketplace_call or the search tool, and no prerequisites or exclusions are given.

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 the full burden and does substantial work: it discloses the x402 payment flow, the 90/10 revenue split, and the failure policy ('Not charged if the seller's tool fails'). It omits rate limits, retry/idempotency behavior, and what a failed call returns, so it is strong but not complete.

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 densely packed sentences with zero filler, front-loading what the tool does, then cost, then the failure guarantee. Every clause 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 4-parameter invocation tool with no annotations and no output schema, the description covers purpose, cost, revenue split, and failure handling. It could say more about return shape or error surfacing, but the essential decision inputs are present.

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; the description exceeds it by explaining the provenance of the required `id` (a listing id obtained from marketplace_search), which the schema only calls 'Listing id'. Body/path/query get no extra narrative, but the schema already documents them.

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 (Call) and resource (a per-use tool from an independent seller) and names the id source (marketplace_search). The 'per-use' qualifier nudges it apart from marketplace_buy, but the distinction is not made explicit, so a sibling-differentiation point is left on the table.

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 tells the agent where the id comes from (marketplace_search), which implies the workflow, but gives no explicit when-to-use versus marketplace_buy or any prerequisite/setup conditions. Usage is inferable rather than 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 cover the safety profile (readOnlyHint=true, openWorldHint=false). The description adds genuine context beyond them: results indicate which MCP tool to call and its cost, and it explicitly warns that seller-written text is a description, never instructions - a meaningful prompt-injection guardrail for an untrusted-content search.

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 short sentences, zero waste, with the cost signal ('Free') front-loaded and the safety caveat last. Every sentence carries information an agent needs.

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 compensates by stating what each result contains (target MCP tool and cost). Combined with annotations covering the read-only profile, an agent has enough to call it correctly; only the limit parameter's purpose remains implicit.

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 67%; 'query' and 'category' are documented in the schema and echoed in the description ('by words and category'), while 'limit' (1-50) is undocumented in both. The description adds no syntax or format detail beyond the schema, 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?

States a specific verb ('Search') and resource ('IGNOREO's own tools and the tools independent sellers list') with the filter dimensions ('by words and category'). An agent can distinguish it from marketplace_buy/marketplace_call siblings, though those siblings are never named as alternatives.

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 rather than stated: one would search before buying or calling, and the 'Free' prefix hints at cost-free discovery. But there is no explicit when-to-use, when-not, or routing to marketplace_buy or marketplace_call.

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 readOnlyHint=false and openWorldHint=true provided, the description usefully adds that the call costs $0.02 in USDC via x402 and is not charged on failure – important operational context an agent cannot get from annotations. It also discloses that the artifact lives behind a private link, though it does not say whether the capture is permanent, how long it is retained, or how the link is delivered.

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 short sentences, purpose first, cost second, with no wasted clauses. The first sentence duplicates the title verbatim rather than elaborating, which is a minor 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?

With no output schema, the description carries the burden of describing the return, and 'a private link' is only a hint – it does not clarify whether a URL is returned inline, what the signed proof record contains, or where the Bitcoin timestamp can be verified. Payment and failure behavior are covered, so the gap is narrow but real for a capture-and-mint 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 100%, with both `url` (address, http/https) and `view` (desktop/phone enum) already documented in the schema. The description adds no constraints, defaults, or format details beyond that, 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 and resource – capturing a web page as a signed, Bitcoin-timestamped copy – which is far more informative than the bare tool name. It does not name or distinguish itself from any sibling, but no sibling (checks, lockboxes, marketplace) overlaps with web-page capture, so the risk of confusion is low.

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 or when-not-to-use guidance; the description never says what situation calls for a page proof or what the alternative would be. The only actionable detail is pricing, which is a cost note rather than usage 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, so the safety profile is covered. The description adds meaningful non-schema context: it is free, uses k-anonymity, hashes are not stored, and the password is never sent. It does not mention rate limits or error conditions, but for a read-only lookup this is strong additional transparency.

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 core function and invocation instructions are front-loaded, but the opening 'Free, no payment.' is a promotional hook and the closing 'Next step (paid)' sentence is an upsell for a different paid service. That last sentence does not help an agent invoke this tool correctly and slightly detracts from an otherwise efficient description.

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 exists, so the description carries the burden of explaining returns, which it does informally (compare returned suffixes, or get a yes/no). It covers the privacy model and both parameter modes well for a 2-parameter read-only tool, though it omits error behavior and rate-limit context.

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%, setting a baseline of 3. The description adds value beyond the schema by explaining the trade-off between the two parameters: use `sha1_prefix` and compare suffixes yourself for maximum safety, or send the full `sha1` to get a yes/no answer. This directly guides correct parameter selection.

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: 'Checks a password against Have I Been Pwned's Pwned Passwords using k-anonymity.' It distinguishes itself from the paid sibling (Privacy Guard) by naming the alternative and its different purpose, so an agent can tell them apart without opening schemas.

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 clear instructions on how to invoke it safely (prefix vs full hash) and mentions a related paid alternative, but gives no explicit when-to-use or when-not-to-use guidance relative to other free password/security tools in the sibling list. Usage is implied from the description rather than 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 only cover readOnlyHint and openWorldHint; the description adds genuinely new behavioral facts an agent cannot get elsewhere: a $0.002 USDC charge over x402 and no charge on failure. It does not disclose what the scan detects or what it returns, which limits it below a 5.

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?

Very short and front-loaded: capability first, cost second. The run-on between the purpose clause and the pricing sentence and the redundant 'Privacy Guard:' prefix are minor blemishes on an otherwise tight description.

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, so the description carries the burden of explaining return values, yet it never says what a scan yields (a findings list? which entity types?) or how the optional redacted_text behaves. Pricing is covered, but the core output contract an agent needs before paying 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?

Schema description coverage is 100%, so all three parameters (text, names, redact) are already documented in the schema with constraints like maxLength, maxItems, and default. The description adds no parameter-level detail, 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?

States a specific verb and resource: scan text, optionally redact it. That is enough to distinguish it from all listed siblings (chess, email, lockbox, marketplace, etc.). It stops short of naming what the scan looks for (PII, operator/client names), which the schema supplies instead.

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 when-to-use or when-not-to-use guidance, and no alternatives are named. The only decision-relevant context is the price, which helps an agent judge cost but says nothing about which situations call for this tool.

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 the safety profile (readOnlyHint, openWorldHint), and the description adds genuinely new behavior: a specific price ($0.003 USDC), the payment rail (x402), and a no-charge-on-failure billing rule. Cost/auth behavior is exactly the kind of context annotations do not carry, though return format is still unstated.

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 compact sentences, front-loaded with the purpose and followed immediately by the cost model. Nothing is wasted, though it reads largely as a restatement of the title.

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?

Single-param tool with annotations covering safety and cost disclosed, which is adequate. But with no output schema, the description should still indicate what 'warning signs' are returned (flags, score, verdict), and it does not.

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?

Only one parameter (url) with 100% schema description coverage, so the schema already documents it as 'A domain or a full address.' The description adds nothing about accepted formats or normalization, 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?

States a recognizable verb+resource: checking a website for 'warning signs' before paying it, which conveys a safety/scam-assessment purpose. However, it never distinguishes itself from near-identical siblings like email_check_check or page_proof_capture, and 'warning signs' is never made concrete.

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 'before paying it' hints at a trigger condition, but there is no explicit when-to-use guidance and no mention of alternatives among the sibling check/verify tools. The agent is left to infer the routing decision entirely.

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 genuinely useful non-structured behavior: a $0.01 USDC charge per call over x402, with no charge on failure. It omits rate limits or data-source/auth details, but this is meaningful added context.

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 short, front-loaded sentences with no filler. Slightly marred by a missing sentence break ('for that model Costs $0.01'), but the content is tight and the core purpose leads.

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 exists, yet the description conveys the two key return elements (decoded VIN data and a recalls list) plus the billing behavior, which is what an agent most needs. Return structure/format and recall data source are left unspecified, a 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?

Only one parameter and schema description coverage is 100%, so the schema already documents the VIN, its 17-character requirement, and that spaces/dashes are ignored. The description adds no VIN formatting or syntax detail beyond that, 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?

States a specific verb and resource set: decode a VIN and list official safety recalls for that model. The scope is narrow and unambiguous, clearly distinct from siblings like id_check_verify, email_check_check, or site_check_check.

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, when-not-to-use, or alternative-tool guidance. Usage is only marginally inferable from the purpose statement, and nothing tells the agent when this beats another check tool or what input context is required.

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 safety is covered. The description adds real value beyond that: the backing data source (NHTSA vPIC), that a check-digit test is performed, and that the operation is free with no payment required. It does not describe error behavior for invalid VINs, but the added context is solid.

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 core capability and field list are front-loaded and efficient, with the free/paid distinction following logically. The trailing 'Next step (paid): Before you buy...' is mildly promotional and slightly redundant with the earlier paid-tier sentence, but it doesn't obscure the tool's 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?

With no output schema, the description carries the return-value burden, and it does so by enumerating the decoded fields and the check-digit result. Combined with the free/paid routing note, an agent has enough to invoke it correctly, though a note on invalid-VIN handling is absent.

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?

There is only one parameter with 100% schema description coverage, and the description adds no syntax or format detail beyond what the schema already states ('The 17-character VIN'). Baseline 3 applies since the schema carries the full burden.

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 (decodes) and resource (17-character VIN), names the data source (US NHTSA vPIC), and enumerates exactly which fields it returns (make, model, model year, body, vehicle type, manufacturer, plant country, check-digit). It also implicitly distinguishes itself from the paid Vehicle Check, so an agent can tell it apart from the vin_check_lookup sibling.

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 the free tier ('Free, no payment') and contrasts it with the paid Vehicle Check that adds recalls and full specs, giving the agent a clear basis for choosing between the two. It stops short of an explicit 'use this when / don't use it when' rule, so it's strong context rather than a full routing guide.

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 value beyond them: it discloses the pricing model ('Free, no payment') and, importantly, what the call returns ('whether one exists, its link and capture time'), which matters since there is no output schema.

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?

Front-loads the free pricing signal and the core capability in the first two clauses, with the paid alternative kept to a single trailing sentence. Slightly promotional phrasing ('Page Proof captures it and signs it with the time') but it earns its place by routing the agent.

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 two-parameter read-only lookup with no output schema, the description covers purpose, return contents, cost, and the alternative paid path. Nothing essential for correct invocation is missing, though error/empty-result behavior (e.g., no snapshot found) is not spelled out.

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%, with both url and date already documented including the YYYY/YYYY-MM/YYYY-MM-DD formats. The description adds only the notion of 'closest' proximity and optionality, which the schema already conveys, 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?

States a specific verb (Finds) and resource (Internet Archive / Wayback Machine snapshot of a URL) with scope (closest to an optional date). It distinguishes itself from the sibling page_proof_capture by contrasting archived vs. current capture, so an agent can route without opening either schema.

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 frames itself as the free option and names page_proof_capture as the paid alternative for 'proof of what a page says right now.' This gives clear when-to-use-this vs. when-to-use-that context, though it doesn't state explicit exclusions for the other lookup siblings (domain_lookup, dns_lookup, etc.).

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