entropiav2

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

Beyond the annotations, it discloses the crucial behavioral facts: the tool is paid via x402 at 0.02 USDC on Base, and the first call is effectively a dry run that returns payment requirements rather than data. That paid/two-phase behavior is exactly the kind of context an agent cannot infer from readOnlyHint=false and openWorldHint=true.

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?

Dense but front-loaded: the purpose and report contents come first, then the payment mechanics. The second sentence is slightly compressed (mixing cost, protocol, and the two response modes), but no sentence is wasted.

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 enumerating the report sections and the score, and it explains both the unpaid and paid response paths. Missing only peripheral detail such as latency, caching, or whether a failed verdict still costs the fee.

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 agent_id, chain (default 8453), and payment are already fully documented. The description restates the payment base64/X-PAYMENT mechanism rather than adding syntax or edge-case meaning 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 and resource ("due diligence completa de un agente ERC-8004") and enumerates exactly what the report covers: live services and health, metadata, onchain feedback, wallet, red flags, and a 0-100 score. The adjective "completa" implicitly distinguishes it from the sibling agent_check_preview, but no sibling is named explicitly, so differentiation is left to inference.

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

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

Gives a clear decision context ("antes de pagarle o llamarlo") and spells out the two-step invocation flow: without payment it returns requirements, with payment it delivers the report. It does not explicitly route the agent to agent_check_preview for a cheaper/partial check, which is the one missing alternative.

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, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds genuinely new behavior: it is free, it returns a coarse band rather than a precise score, and the full data sits behind a paid sibling. It does not mention rate limits or whether a free-tier quota exists, which is the main residual gap.

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: what it is, what it omits, where to go for the full version. The most decision-relevant facts (free, coarse output) are front-loaded and nothing is repeated from the schema or annotations.

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 naming the return shape (verdict, score band, flag codes) and its limitations. Combined with the fully documented two-parameter schema, an agent has everything needed to call it and interpret the 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 100% and both parameters (chain with default 8453/Base, agent_id as ERC-8004 Identity Registry token id) are documented in the schema itself. The description adds no syntax, format or validation detail beyond that, 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?

States a specific verb and resource ("Vista GRATUITA de due diligence de un agente ERC-8004") and immediately enumerates what the response contains: verdict usable/caution/avoid, score band and flag codes. It also draws an explicit line against the sibling agent_check, so an agent can distinguish the two 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?

Gives both sides of the routing decision: this tool is the free preview, and "Para el reporte completo usa agent_check (0.02 USDC)" names the alternative together with its cost. The list of excluded fields (exact score, services, metadata, reputation, wallet) makes the escalation condition concrete rather than inferred.

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, openWorldHint=true and destructiveHint=false, so the safety profile is covered. Beyond that the description adds only subject-matter topics; it says nothing about whether the exchange is stateful or remembered, whether the agent can trigger other sibling actions (e.g. contract generation), or what kind of reply comes back. For an open-world conversational endpoint this is a real gap.

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, and the identity of the agent is front-loaded. The second sentence is topic trivia rather than operational detail, so it is not perfectly efficient, but nothing is padded.

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

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

For a single-parameter, annotation-covered tool with no output schema, the definition covers the minimum: what it is and what it is about. It is still incomplete on conversational behavior and expected response, which matters for an open-world agent endpoint.

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 "message". The description adds no meaning about tone, language, length, or whether prior messages should be included, 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?

"Conversacion con el agente creativo entropiav2" states the resource (an agent) and the action (converse), which is better than a bare label, but it never says what the conversation produces or how it differs from sibling tools like get_agent_info or agent_check. The second sentence only lists topic domains, so an agent still cannot tell exactly what a call accomplishes.

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 at all: no condition that selects this tool over get_agent_info, agent_check, or generate_composition. The stated specializations (blockchain, generative art, dance, smart contracts) hint at topical scope but are not framed as usage criteria or exclusions.

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 destructiveHint=false, and the description does not contradict them: it only produces a proposal. It adds useful behavioral context by describing what the response contains and flagging an x402 payment step, but it does not say whether anything is persisted, whether the proposal is free, or how the payment flow is triggered.

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 with no filler: the first states the input and the enriched output, the second frames the workflow. The key information is 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 simple single-parameter tool with no output schema, the description does outline the return payload, which is the main gap it needed to cover. It remains thin on how the proposal relates to the sibling generation tools and on what the x402 payment step actually requires from the agent.

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 a single required parameter with 100% schema description coverage, so the schema already explains that the brief covers topic, tone, and intended use. The description only restates 'brief creativo' and adds no format, length, or content guidance beyond 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?

The description names a specific verb and resource: it receives a creative brief and returns a commission proposal, then enumerates the proposal's contents (suggested mood and seed, draft piece, deliverables, payment). That is far more specific than the sibling names like generate_composition or composicion_premium, though it never explicitly contrasts itself with them.

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

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

It sketches the commission workflow ('brief -> entrega -> pago x402'), which implies this is the entry point of a paid engagement flow. However, it gives no explicit when-to-use versus generate_composition, composicion_premium, or variaciones_estilo, and no stated preconditions.

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 substantial context beyond the annotations: a concrete price (0.10 USDC), network (Base Sepolia), x402 payment protocol, and onchain settlement, which an agent must know before calling since readOnlyHint is false. It does not cover failure modes (rejected payment, insufficient funds) or whether payment is non-refundable.

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 dense sentences that front-load what is produced, then the payment mechanic. No filler, though the payment sentence packs protocol, price, and verification flow into one long clause that is harder to parse.

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

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

With no output schema, the description does name the three returned artifacts and the payment-requirements fallback, which is what an agent most needs. It still omits the response shape when payment succeeds and the determinism semantics of seed, leaving some ambiguity for a paid, settlement-touching 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%, so all seven parameters are already documented in the schema, including payment and token_id defaults. The description only restates the payment parameter's role, adding no new parameter-level 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 concrete deliverable set (deterministic videodance piece, poetic NFT metadata description, curatorial text) and that it is premium/paid. It never names generate_composition or explains the delta versus that sibling, so an agent must infer why 'premium' differs beyond price.

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 an explicit two-step usage contract: call without payment to obtain payment requirements, then call with the base64 X-PAYMENT header to verify and receive. Lacks guidance on when to prefer this over generate_composition or variaciones_estilo.

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, destructiveHint=false, and openWorldHint=true, so safety is covered. The description adds that the output is a 'poetic description' derived from composition parameters, implying generative open-ended text. It does not disclose determinism (does the same seed yield the same text?), output language, or length, which are meaningful for a generation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler. Efficient, though it is so terse that it leaves behavioral and usage gaps unaddressed.

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 does state the return type ('descripcion poetica'), which is the key missing piece normally. However, for a generative tool with two required inputs and open-world behavior, it says nothing about determinism, length, or what happens with optional parameters, leaving real gaps.

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 all five parameters are documented in the schema; baseline 3 applies. The phrase 'parametros de composicion' collectively frames the inputs as composition metadata, but adds no per-parameter meaning beyond what the schema already states (seed, token_id, blend_mode, etc.).

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: 'Genera una descripcion poetica para un NFT de videodanza'. Clear enough that an agent knows it produces text, not an image or on-chain action. It does not explicitly contrast with siblings like generate_composition or composicion_premium, 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?

No when-to-use or when-not-to-use guidance is given, and no alternative tools are named. The clause 'basado en sus parametros de composicion' hints at input, but an agent has no signal about when to call this versus generate_composition or composicion_premium.

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, destructiveHint=false and openWorldHint=true, so safety is covered. The description adds genuinely useful behavior beyond that: determinism ('misma semilla = mismo resultado'), which tells the agent results are reproducible and seed-driven. However, it does not say what a 'composicion' actually is on return (video, asset URL, JSON, identifier), nor whether anything is persisted, which matters for a generative 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?

Two short sentences, front-loaded with the purpose and followed by the most decision-relevant property (determinism). Nothing is redundant, though the description is arguably too thin for a five-parameter generative tool rather than padded.

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

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

With no output schema and all five parameters optional, the description should explain what comes back and what happens when called with no arguments, and it does neither. An agent cannot tell whether it receives a video, a file reference, or a seed-derived identifier, nor whether omitting mood/energy/gender/perspective yields a valid default composition.

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

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

Schema coverage is 100% and every parameter carries its own description and enum, so the schema does the heavy lifting. The description reinforces the meaning of 'semilla' via the determinism sentence and frames the parameters collectively as 'poeticos', but adds no format, default, or interaction guidance beyond that.

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 ('Genera una composicion unica de videodanza') plus the input domain ('parametros poeticos'), so an agent knows exactly what it produces. It does not distinguish itself from the sibling 'composicion_premium' or 'variaciones_estilo', which likely generate similar artifacts, so the agent must guess which generator 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?

There is no explicit when-to-use, when-not-to-use, or routing guidance relative to the other generation tools in the sibling list. The only usage hint is implied by 'a partir de parametros poeticos', which suggests a parameter-driven generation path but never says why to choose it over composicion_premium or variaciones_estilo.

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, destructiveHint=false and openWorldHint=true, so safety is covered. The description adds that output is OpenZeppelin-based and security-oriented, which is useful, but it never says what the result looks like (raw source text vs. file), whether anything is persisted, or any limits on the generated code.

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 core action and technology. The second sentence duplicates the enum already present in the schema, a minor redundancy, but nothing is padded.

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

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

A simple two-parameter tool, but with no output schema the description should say what is returned (Solidity source, contract skeleton, deployment guidance) and it does not. What an agent needs to call it is present; what to expect back is 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%: both 'name' and 'type' are documented, and the enum fully enumerates the five contract types. The description's type list merely repeats the enum, adding no format, naming-convention, or validation detail beyond the schema, so 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 artifact: generates secure Solidity smart-contract code using OpenZeppelin, and enumerates supported contract types (NFTs, dynamic NFTs, tokens, marketplaces, DAOs). An agent can immediately tell this is a code-generation tool, and no sibling in the list covers this function, so further differentiation isn't needed.

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 supported contract types imply when the tool applies, but there is no explicit guidance on prerequisites, when not to use it, or how it relates to siblings like describe_nft or agent_check. 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 declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds only that the payload is static descriptive metadata (capabilities, tech stack, projects), which is mild added value but does not explain freshness, external dependency behavior, or response shape.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler. It is efficient, though slightly under-specified rather than verbose, and being in Spanish only is fine given the surrounding tool names.

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 read-only lookup, the description covers what the tool returns at a high level, but with no output schema it should say more about the structure or identity of the returned data. The lack of differentiation from agent_check and agent_check_preview leaves a real selection 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?

The tool takes zero parameters, so there is nothing for the description to disambiguate; baseline 4 applies. The description correctly implies a parameterless lookup by describing the agent as a fixed target.

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 resource ('el agente entropiav2') and enumerates what it returns: capacidades, stack tecnico, proyectos asociados. However it does not distinguish itself from siblings like agent_check or agent_check_preview, so an agent cannot tell from the text alone which of these agent-related tools 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?

No when-to-use guidance is given: there is no statement of when this metadata lookup is appropriate versus agent_check or agent_check_preview, and no prerequisites or exclusions. Usage must be inferred from the tool name alone.

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

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

Annotations (readOnlyHint=false, openWorldHint=true, destructiveHint=false) already signal an external-facing write that is non-destructive, and the description is consistent with that. It adds real behavioral context the annotations cannot: the double opt-in flow means subscribing is not complete until the subscriber clicks a confirmation email, and the newsletter is described as 'ocasional'. It stops short of describing the immediate call response or rate limiting.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the action and target, followed by the opt-in behavior that matters for correct use. The topic list is slightly decorative but plausibly helps an agent judge relevance; nothing is outright wasteful.

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, no-output-schema tool, the definition covers what it does and what happens next (confirmation email), which is the key thing an agent needs to set expectations. Missing only edge-case behavior such as duplicate subscriptions and the shape of an error response, which are minor at this complexity.

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 a single parameter and 100% schema description coverage, the schema already explains that the email is the address to subscribe and even suggests agents can use their own inbox. The description only restates 'un correo' generically and adds no format, validation, or duplicate-handling semantics 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 ('Suscribe un correo') and resource ('la newsletter ... de Petra'), plus the topical scope of the newsletter. No sibling tool (agent_check, chat, generate_contract, etc.) overlaps with this function, so an agent will not confuse it with anything else, though the description never explicitly names a contrasting tool.

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: an agent infers it should call this when a user or agent wants an email added to the list. There is no 'when not to use' guidance, no mention of what to do for unsubscribe or duplicate addresses, and the note that agents may use their own inbox lives in the schema rather than the description.

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, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds the conceptual behavior (variations anchored to one seed, differing in mood/energy) but says nothing about cost, latency, or what a returned variation contains — relevant gaps for an open-world generative 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?

Two compact sentences, front-loaded with the action and followed by the use case; nothing is padded. The "varias versiones" phrase mildly duplicates the count parameter already documented in 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?

With 2 fully documented params and read-only annotations this is nearly sufficient, but there is no output schema, and the description never describes what a variation looks like or how the 2-4 results are returned. An agent can call it correctly but cannot predict the response shape.

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%, and the schema already explains that variations preserve the seed as root and that count ranges 2-4 with default 3. The description reinforces the seed-as-root idea but adds no syntax or constraint 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?

The description names a specific verb+resource ("Genera variaciones de estilo desde una misma semilla") and clarifies that the output is several versions with different moods and energies. That is enough to separate it from generate_composition or composicion_premium, though those siblings are never named explicitly.

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

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

It gives a clear usage context: "explorar direcciones antes de encargar una comision", which places it in an explore-then-commission workflow. It does not name an alternative tool or state when not to use it, so it stops short of full routing guidance.

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