AV Hub x402 Tools

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

With no annotations, the description carries the full burden and does well: it discloses UTF-8-only input, that decoding is strict base64 (implying rejection of invalid input), the exclusions, the cost (1000 atomic USDC), and the auth requirement. It does not describe error behavior or the exact output shape, but the operational constraints an agent must know before invoking are covered.

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 purpose, then exclusions, then commercial terms. No filler and nothing redundant.

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, no-annotation, no-output-schema tool, the description covers purpose, scope boundaries, and the payment gate, which is the non-obvious information. It leaves the return format and failure modes unspecified, but nothing critical for correct invocation 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 0%, so the description must compensate. It clarifies that text is UTF-8 and that decode is strict, which adds real meaning beyond the bare string type, but it never mentions the 3000-character limit or the encode/decode enum values explicitly as parameters.

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 both specific verbs (encode/decode) against a precise resource (UTF-8 text <-> base64) in one sentence. The scope exclusions (JWT inspection, binary files, secret handling) separate it cleanly from siblings like text_sha256, json_csv_convert, and url_normalize.

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 explicit when-not guidance ('No JWT inspection, binary files, or secret handling') and states the precondition that payment authorization is required before paid execution. It stops short of naming an alternative tool for the excluded cases, so it is clear context rather than full routing.

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 disclose non-obvious traits: the paid nature (1000 atomic USDC) and that payment authorization is required before execution. These are important gating behaviors absent from the schema. It stops short of describing failure behavior or how the returned times are formatted.

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 sentences, front-loaded with the purpose before scope exclusions and cost. Every sentence carries distinct information (capability, limitations, payment) with no 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 stateless calculator with no output schema and no annotations, the description covers the return shape in general terms, cost, and auth. It is adequate overall but omits the after_utc format details and any error/edge-case behavior an agent would need for reliable invocation.

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

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

Schema description coverage is 0%, so the description must compensate for all three required parameters. 'Up to five next UTC times' maps to count and 'numeric five-field cron' partially constrains expression, but after_utc receives no explanation at all (format, meaning, or relationship to the results), leaving a required parameter undocumented in both schema and description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Calculate') and resource ('next UTC times') plus the exact input constraint ('numeric five-field cron with wildcard day-of-month or weekday'). The scope is unambiguous, though the unrelated sibling set means there is no analogous tool to differentiate against.

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 timezone, named fields, or delivery' communicates meaningful exclusions that tell the agent when this tool is unsuitable, which is real guidance. However, no alternative tool or positive when-to-use condition is named, leaving selection judgment implied rather than explicit.

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

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

With no annotations, the description carries the full burden and does disclose two materially important traits beyond structure: the exact price (29000000 atomic USDC) and that payment authorization is required before execution. It still omits delivery/response behavior, failure or refund handling, and pack size, so it falls short of fully transparent.

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-loaded with what the tool delivers, followed by cost and payment condition. Three short sentences, though the price and payment-authorization sentences could be consolidated into one without losing meaning.

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 parameterless purchase/download tool with no output schema or annotations, the description covers the essentials: deliverable, format (ZIP), contents, price and the authorization prerequisite. Minor gaps remain around delivery mechanics and what the response returns after payment authorization.

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, so there is nothing for the description to disambiguate; the baseline for a parameterless tool is 4. The description appropriately spends no words on inputs.

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 ('Download') and resource ('the Designer skill pack ZIP') and enumerates the contents (book cover design, brand identity, spreadsheet, animation/VFX skills, prompts, quick-start guide, licence). This clearly distinguishes it from sibling packs like game_dev_pack, marketer_pack and store_art_prompt_pack.

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

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

The description implies when the tool applies (acquiring designer-oriented skills) and adds one real prerequisite: payment authorization is needed before paid execution. However, it never explicitly says when to choose this pack over the sibling packs, nor any exclusions or conditions beyond the payment gate.

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 it does disclose two important traits: the exact price (39000000 atomic USDC) and that payment authorization is required prior to execution. It does not state whether the charge is one-time or recurring, whether it is refundable, or how the ZIP is delivered, leaving notable behavioral gaps for a paid, presumably irreversible transaction.

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?

Content, price, and payment condition are packed into two front-loaded sentences with no filler. The contents enumeration is somewhat long but each item is informative, so it largely 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 zero-param, no-annotation tool with no output schema, the description covers what the user receives, the exact cost, and the authorization prerequisite. The only meaningful omission is the delivery/return mechanism (e.g., download link vs. file payload), which keeps it short of a 5.

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 (empty schema, additionalProperties false), so the baseline is 4. There is nothing for the description to clarify or compensate for on the parameter side.

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?

Specific verb (Download) plus resource (Game Dev skill pack ZIP) with an enumerated contents list. It clearly differentiates itself from sibling packs like designer_pack and marketer_pack by naming the game-dev domain and its constituent skills.

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 states a precondition ('payment authorization required before paid execution') and a cost, which implies when the tool is actionable, but gives no explicit guidance on when to choose this pack over sibling packs like game_launch_kit or designer_pack. Usage is only inferable.

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 it does disclose two meaningful traits: no competitor facts are invented, and execution is paid (20000 atomic USDC, authorization required). That is genuinely useful behavioral context. It still omits what the bundle contains, whether generation is idempotent, what happens on payment failure, and any refund/retry semantics.

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 then the guarantees and cost. No filler. Minor room for improvement: the payment sentence could be tightened, but it is efficient overall.

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 no annotations, so the description is the only source of behavior. It covers cost and originality but never says what the 'planning bundle' actually contains or in what form it is returned, which matters for a five-required-parameter paid 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 0% across 5 required parameters (title, genre, platform, tone, core_loop), so the description must compensate and it does not. It only refers vaguely to 'a supplied brief' without mapping or explaining any field, leaving length limits and semantics entirely to 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: 'Build an original game planning bundle from a supplied brief.' An agent can tell it is a generation tool. It does not, however, differentiate itself from the siblings ship_gate_audit or store_art_prompt_pack, so it stops short of a 5.

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 statement of when to use this tool versus alternatives, nor any prerequisite beyond the payment note. 'From a supplied brief' implies the required input shape but gives no conditions or exclusions for selecting 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?

With no annotations, the description carries the full burden and does disclose two non-obvious traits: a hard price (2000 atomic USDC) and that payment authorization must precede paid execution. It also implies values are kept as flat strings (no type inference) and input size is bounded. It omits what happens on failure or whether payment is consumed on error.

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 conversion scope, then the exclusions, then the payment terms. No filler and nothing repeated from the schema.

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-param, no-annotation, no-output-schema tool, the description covers purpose, scope limits, and payment. It leaves gaps on the numeric input bound (only 'bounded'), on error/refund behavior after authorization, and on what the converted result looks like when returned.

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 0%, so the description must compensate for two parameters. It characterizes the `data` payload (CSV with header, or JSON array of flat string records) and implies direction via 'bounded CSV'/'JSON array', but never maps meaning to the `direction` enum values or states the actual length bound. Partial compensation only.

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 names a specific verb (Convert) and both resources (bounded CSV with a header, JSON array of flat string records), and the direction enum makes the two-way nature concrete. It is clearly distinguishable from siblings like json_normalize or base64_text_codec, though it never explicitly frames itself as bidirectional.

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 gives explicit exclusions — 'No spreadsheets, type inference, or nested objects' — which is real when-not-to-use guidance, plus the 'bounded' constraint and a payment precondition. It stops short of naming an alternative sibling for the excluded cases, so it is clear context rather than full routing.

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 well: it discloses error behavior on malformed input, explicitly excludes repair/validation, and states cost (5000 atomic USDC) plus the payment-authorization prerequisite. It omits return format and the 3500-character input ceiling, but the cost/auth disclosure is genuinely valuable 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?

Three short sentences, none wasted: the core operation is front-loaded, followed by failure semantics and payment terms. Every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter tool with no annotations and no output schema, the description covers behavior, error modes, and payment requirements. The main gap is the return value shape (it only implies a normalized JSON result) and the input length limit, but overall it is nearly sufficient to invoke correctly.

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 one parameter with 0% schema description coverage, and the description never addresses it. 'Parse JSON' only weakly implies the input is a JSON string, which the schema type already states. Nothing is said about the minLength/maxLength (3500) constraint or accepted format, so the description 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?

The description states a specific verb and resource: 'Parse JSON and sort object keys recursively.' Recursive key sorting is clearly distinct from json_csv_convert and url_normalize. However, it does not explicitly name a sibling or contrast its role, so it lands at 4 rather than 5.

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 gives a boundary condition ('Returns an error for malformed JSON; no schema repair or semantic validation'), which implicitly routes agents away when they need validation or repair. But it never names an alternative tool or states when to prefer this over json_csv_convert or a validator. Usage is implied, not directed.

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 disclose two critical traits: the exact price (29000000 atomic USDC) and that payment authorization must precede execution. It stops short of explaining the authorization mechanism, delivery format, or what happens on payment failure.

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 tight sentences: the download and its contents are front-loaded, and the payment precondition follows. 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?

There is no output schema, and the description compensates by listing what the ZIP contains. The main remaining gap is how payment authorization is supplied or triggered, which an agent would need to know to complete the paid flow.

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, so the baseline of 4 applies; there is nothing for the description to disambiguate beyond the schema's empty object.

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 ('Download') and resource ('Marketer skill pack ZIP') and enumerates the pack's contents (copy strategy, marketing experiments, story structure, video editing, example prompts, quick-start guide, licence). The name and content list clearly distinguish it from sibling packs like designer_pack and game_dev_pack.

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 usage context (you want the marketer skill pack) and states a precondition ('Payment authorization required before paid execution'), but never says when to prefer this over sibling packs or how the authorization is obtained. Usage is inferable rather than spelled out.

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 disclose two non-obvious traits: a concrete price (20000 atomic USDC) and a mandatory payment authorization step. It also bounds behavior by disclaiming URL fetching and legal compliance. It still omits what happens on payment failure or how the score is expressed, 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?

Three short sentences, front-loaded with the core action, followed by cost and payment terms. Every sentence adds something, though the pricing and authorization details could arguably be consolidated into one 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?

For a paid tool with no annotations, no output schema, and a nested evidence object, the description is thin: it never explains the score's meaning or format, the role of project_type, or failure/retry behavior after payment. An agent can identify the tool but not predict its result.

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% for two required parameters, one of which is a nested object with six required booleans and the other an enum of three project types. The description only loosely gestures at the evidence checklist and says nothing about project_type or the individual boolean fields, 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?

The description states a specific verb and resource: score a supplied release evidence checklist. That is clear enough for an agent to know what the tool produces. It does not, however, differentiate itself from the siblings game_launch_kit or store_art_prompt_pack, so it falls short of a 5.

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 gives a real precondition (payment authorization required before paid execution) and scope exclusions (no URL fetching, no legal compliance claim), which imply this is a pre-ship gate check. But it never says when to choose this over the sibling launch/art tools or what triggers a re-run, so guidance is only implied.

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 it does disclose two important traits: a fixed price (20000 atomic USDC) and that payment authorization is required before execution. It still omits reversibility, idempotency, failure behavior on declined payment, and what execution actually produces.

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 with the core purpose front-loaded and no filler; the price and payment sentences each carry distinct, decision-relevant information. Slightly undermined by the vague 'bounded original' phrasing.

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 paid, state-changing generation tool with no annotations, no output schema, and 0% parameter documentation, the description leaves major gaps: what a 'brief' contains, how the four inputs map to it, and what happens after payment authorization. Price and payment gating are the only complete pieces.

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% across four required parameters, so the description must compensate and largely does not. It ties loosely to the 'aspects' parameter via 'supplied aspect ratios' but says nothing about the roles of title, genre, or palette.

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 (store-art briefs) scoped to supplied aspect ratios, which is enough to tell what the tool produces. The phrase 'bounded original store-art briefs' is somewhat jargon-heavy, and there is no differentiation from siblings (game_launch_kit, ship_gate_audit), though those siblings appear unrelated.

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 explicit when-to-use, when-not-to-use, or alternative framing is given; 'for supplied aspect ratios' only implies the input shape. The only conditional guidance is the payment prerequisite, which is behavioral rather than 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?

With no annotations, the description carries the full burden, and it does disclose genuinely important context: the 1000 atomic USDC cost and that payment authorization is required before execution. It still omits the output form (64-char hex digest), determinism, and whether results are cached or side-effect free, so it is only partially complete for an unannotated 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?

Three short sentences, front-loaded with the core purpose; the cost and payment caveat earn their place as operational constraints. Slightly terse on the return value, but nothing is padded or redundant.

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 trivial single-input hashing tool with no output schema or annotations, the description covers purpose, input type, exclusions, and the payment prerequisite. The main omission is the return format, which an agent would need since no output schema exists to describe it.

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 0% on the single 'text' parameter, so the description must compensate. It adds a real constraint by specifying the input is UTF-8 text with no file fetching, but it never states the min/max length limits (1-3000) that the schema enforces, leaving the agent unable to anticipate rejection.

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 precise verb+resource: 'Return the SHA-256 fingerprint of supplied UTF-8 text.' It pins down the algorithm (SHA-256) and the input encoding (UTF-8), and the leading sentence clearly separates it from the codec/format siblings like base64_text_codec and json_normalize.

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 'No file fetching, identity check, or signature verification' clause scopes what the tool is not for, which is useful negative guidance. However, no sibling alternative is named and there is no explicit when-to-use statement, so the routing guidance is only implied.

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. It usefully discloses that the tool does not visit or validate the destination and that payment authorization is required, but it omits return format, error behavior, and which tracking parameters are removed.

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 purpose, followed by critical behavioral constraints and payment terms. Every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter tool with no annotations and no output schema, the description covers the purpose and key constraints reasonably well. It still omits return values and error handling, which leaves the agent without a full picture of what to expect after invocation.

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

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

Schema description coverage is 0%, so the description must compensate. It adds important semantics by specifying that the input must be an HTTP(S) URL, beyond the schema's length constraints.

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: canonicalize an HTTP(S) URL and remove tracking parameters. It does not explicitly name or contrast with siblings like utm_url_build or json_normalize, so it stops just short of full sibling differentiation.

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 gives a useful usage boundary ('Does not visit or validate the destination') and a payment prerequisite ('Payment authorization required before paid execution'). However, it never states when to choose this tool over alternatives, so the guidance remains implicit rather than explicit.

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

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

With no annotations, the description must carry the full behavioral burden. It does add genuinely useful non-schema context — pricing (5000 atomic USDC) and a payment-authorization prerequisite — plus the negative scope of not testing links or tracking visits. However, it omits behavior for edge cases such as URLs that already contain UTM parameters and what the tool returns.

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, then scope exclusions and payment terms. Every sentence carries information and there is no filler, though the payment sentence is a bit abrupt in placement.

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 are no annotations, no output schema, and zero schema description coverage, so the description should do more. It covers purpose, scope, and cost, but never states the return value (presumably the rewritten URL), which is a real gap when no output schema exists.

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 for four undocumented parameters. It names source, medium, and campaign but adds no format, encoding, or overwrite semantics, and never mentions the url parameter; it essentially restates the parameter names without extra meaning.

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 (add) and resource (UTM parameters to an HTTP(S) URL), which is concrete and unambiguous. It does not reference the related sibling url_normalize, so an agent gets no explicit differentiation from the closest alternative, keeping it below a 5.

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?

"Does not test links or track visits" scopes the tool negatively and implies when it is appropriate, but there is no positive when-to-use statement and no alternative named. Usage is inferable but not spelled out.

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