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

No annotations are provided, so the description carries the full burden of behavioral disclosure, and it does not state that this is a local, side-effect-free utility. It omits nothing-serious items but says nothing about error handling for invalid Base64, the max 100-item batch, or how decode output format is chosen.

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

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

A single front-loaded sentence that opens with the resource and lists the operations without padding. It is appropriately sized, though the repetition of the operation names that also appear in the schema is slightly 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 7-parameter utility with no annotations and no output schema, the description covers the domain but says nothing about return shapes or output formats despite decode/format operations producing varied results. It is minimally adequate but leaves the agent inferring behavior from the schema alone.

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 each of the 7 parameters documented inline including enums and defaults, so the schema does the heavy lifting. The description repeats the operation set already present in the enum and adds no syntax, format, or interaction detail beyond it, matching the baseline 3.

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 (Base64 data) and enumerates concrete verbs (encode, decode, validate, analyze, format), so an agent immediately knows the tool's domain. It is a multi-operation utility, and while it does not explain how to route between those operations, its scope is unambiguous against unrelated siblings like gerar_uuid or email_utils.

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 lists what the tool can do but gives no guidance on when to choose it over alternatives or on which operation fits which situation. There are no prerequisites, exclusions, or pointers to sibling tools (e.g., gerar_hash for hashing). Only implied usage is conveyed through the operation list.

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?

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It doesn't state how the age is calculated (e.g., whether it accounts for leap years, time zones, or partial years), what the return format is, or what happens with future dates. Significant gaps for a tool with no annotation coverage.

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 core purpose. No wasted words, though it could benefit from a note on the expected output.

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 annotations, no output schema, and only one parameter, the description is minimal. It doesn't explain the return value (e.g., integer years) or any constraints, which are important for correct invocation. The description is insufficient for a tool where the agent needs to know the output format.

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 the schema already documents the single parameter's format (YYYY-MM-DD). The description adds no extra semantic detail about the parameter, such as handling of invalid dates. 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 (Calcula) and resource (idade) with the input basis (data de nascimento). Clearly distinct from siblings like date_utils and competencia_utils. No further differentiation is needed given it's a narrow utility 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?

The description implies when to use it (when you have a birth date and need an age), but offers no explicit conditions, exclusions, or pointers to alternatives. Adequate but lacks guidance on edge cases like future dates or invalid formats.

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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does not mention whether operations are read-only or destructive, whether validation follows specific algorithms, or what output format to expect (beyond the 'formato' parameter). For a tool with three distinct operations, this is a significant 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?

A single, efficient sentence that front-loads the resource and enumerates the core operations. No wasted words; it directly communicates the tool's scope.

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

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

The description covers the main operations but lacks behavioral context, output expectations, and usage guidelines. Given no annotations and no output schema, it should do more to inform an agent about return values, error handling, or operational constraints. It is minimally adequate but incomplete for a 4-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?

Schema coverage is 100%, so each parameter is fully documented in the schema (e.g., 'cnpjs' is not used in gerar, 'quantidade' is only for gerar, 'formato' controls masking). The description adds no additional semantics beyond what the schema already provides. Baseline 3 is appropriate when 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?

The description clearly states the resource (CNPJ, Brazilian company registry numbers) and the three operations it supports: gerar, validar, formatar. It distinguishes itself from cpf_utils by focusing on CNPJ rather than CPF, which is a meaningful sibling differentiation. However, the phrasing is somewhat terse and doesn't elaborate on scope or limitations.

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 usage through the listed operations but provides no explicit guidance on when to use this tool versus alternatives like cpf_utils. It doesn't state exclusions or prerequisites. The enum in the schema (operacao) gives some implied routing, but the description itself adds no contextual usage instructions.

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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does not describe any behavioral traits such as whether operations are read-only, whether they mutate state, what permissions are needed, or what the tool returns. The description only names formats and a target domain, adding no behavioral 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?

The description is a single concise sentence with no repetition or bloat. Its second clause is somewhat promotional rather than informative, but the overall structure is efficient and front-loads the resource domain.

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 tool with 31 parameters, 11 enums, multiple operations, no annotations, and no output schema, the description is drastically insufficient. It does not explain the operation modes, return values, or usage scenarios, leaving almost all necessary context 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?

Schema description coverage is 100%, so the schema already documents all 31 parameters thoroughly. The description adds no parameter-level meaning beyond the schema, so the baseline score of 3 is appropriate.

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

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

The description names a specific resource domain (competências in MM/YYYY, MM/YY, YY-MM formats) and a target audience (Brazilian accounting, fiscal, and financial systems). However, it calls itself only 'utilities' and never states a specific verb or action, leaving the tool's actual operations to be inferred from the schema. It also does not explicitly distinguish the tool from the sibling date_utils.

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 gives no explicit when-to-use guidance, no prerequisites, and no alternatives to consider. The phrase 'Ideal para sistemas contábeis, fiscais e financeiros brasileiros' implies a broad domain where it is useful, but it does not say when an agent should choose this tool over date_utils or other siblings.

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?

No annotations are provided, so the description carries the full burden. It names the operations but says nothing about permissions, rate limits, reversibility, return values, or error behavior for validation.

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?

Single front-loaded sentence with no filler, and every word earns its place. It is arguably too terse for a multi-operation utility, but the conciseness dimension rewards brevity.

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 four parameters, no annotations, and no output schema, the one-line description is not complete. It does not explain what gerar/validar/formatar return or how to interpret results, leaving significant gaps for an 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?

Schema coverage is 100%, so the schema already documents all four parameters including enums and defaults. The description adds no parameter details beyond restating the operations, matching the baseline for full schema coverage.

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

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

States the resource (CPF) and three concrete operations (gerar, validar, formatar), so the agent knows what the tool does. It does not explicitly differentiate from sibling cnpj_utils, but the CPF resource is clear enough.

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?

Only lists operations; no guidance on when to choose each operation, no prerequisites, and no alternatives to this tool. The agent must infer usage from the schema enum 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?

With no annotations, the description carries the full behavioral burden but fails to disclose key traits: it does not state whether generated numbers are syntactically valid test data or real card data, whether generation carries rate limits, or what the output/response looks like. For a tool that generates credit card numbers with CVV and expiry dates, omitting whether these are safe/fake values is a meaningful 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?

A single compact sentence that front-loads the resource and then the operation list. Nothing is wasted, though it is arguably too terse given the tool's 11 parameters and multi-operation dispatch surface.

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, and the description does not explain return values or error behavior for a five-operation dispatcher. The rich schema (5 enums, per-parameter descriptions) covers much of the calling contract, but the description leaves the agent without behavioral or result 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%, so each of the 11 parameters is already self-documented in the schema, including which operations each applies to. The description adds only the general note that cards come 'com CVV e datas de expiração', which is marginal beyond what the schema provides; 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 resource ('cartões de crédito') and enumerates the five concrete operations (gerar, validar, identificar, formatar, analisar), which map directly to the required 'operacao' enum. It is clearly distinguishable from sibling utility tools like cpf_utils or cnpj_utils, 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?

The list of operations implies the contexts in which the tool applies, and the schema's enum descriptions clarify which parameters belong to which operation. However, the description gives no explicit when-to-use, when-not-to-use, or alternative-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?

No annotations are provided, so the description carries the full behavioral burden, and it discloses almost nothing: no indication of side effects (implicitly read-only but unstated), no output/return shape, no auth or rate-limit context. It only lists operation categories, which the schema already conveys.

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 sentence with no waste, front-loading the resource before the operation list. It is efficient, though the trailing enumeration is somewhat list-like rather than informative.

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 36-parameter mega-tool with six distinct operations, no annotations, and no output schema, the definition is far too thin. It omits operation-to-parameter mapping, return formats, and sibling disambiguation that an agent would need to call it 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?

Schema description coverage is 100% across all 36 parameters, so the schema already documents each field, its enum, defaults, and formats. The description adds no parameter-level meaning beyond what the schema provides, 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?

The description names the resource (dates, times, timestamps) and enumerates the six operation families it covers (generation, validation, conversion, calculation, formatting, analysis), which maps cleanly onto the 'operacao' enum. It is clear what the tool does, but it does not differentiate itself from overlapping siblings such as calcular_idade or competencia_utils, which also deal with date computation.

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 at all; the agent must infer selection from the 'operacao' enum values alone. Crucially, it never mentions that calcular_idade exists as a sibling for age calculation or when this general utility should be preferred over 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?

No annotations are provided, so the description carries the full disclosure burden, and it delivers none. It does not state whether operations are pure/read-only, what each operation returns (booleans, formatted strings, arrays), whether validation is syntactic only or includes deliverability, or any limits beyond the schema's maxItems/maximum constraints.

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, and the operation list appears immediately after the resource. It is efficient, though for a five-operation tool the brevity borders on under-specification rather than optimal density.

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, 5-operation dispatcher with no annotations and no output schema, the description is too thin. It never explains what each operation produces or how the operations differ, leaving an agent to guess at return shapes and correct per-operation parameter pairing.

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 every parameter is already documented, including per-operation applicability for texto, emails, quantidade and tipo. The description only restates the operation names already present in the operacao enum, adding no semantics beyond 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?

Names the resource (emails) and enumerates the five concrete operations: gerar, validar, extrair, analisar, formatar. That is a specific, multi-operation purpose an agent can match to user intent. It does not, however, differentiate itself from siblings (cpf_utils, cnpj_utils, etc.), though the resource name alone largely does that job.

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 lists operations but never says when to use this tool versus another sibling utility, nor when a particular operation is appropriate. It also omits the obvious pairing rule that 'extrair' needs texto while 'validar/analisar/formatar' need the emails array, which is only inferable from parameter descriptions.

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 provides none of it: nothing about determinism, output encoding (hex vs base64), whether the hash is salted, or what the default algorithm does. 'Gera hash de uma string' is only a restatement of the operation.

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 short sentence with zero waste and the operation front-loaded. It is efficient, though it is efficient because it says very little.

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 should at minimum state the return format (hex digest) and note the default algorithm. For a hashing utility this omission leaves the agent guessing about the result it will receive.

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 parameters documented and an enum plus default for 'algoritmo', so the schema does the heavy lifting. The description adds no extra meaning (e.g., that the default is sha256), 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 (generate a hash from a string), so the agent immediately knows the operation. It does not differentiate itself from siblings like base64_utils or gerar_uuid, which are adjacent utility-style tools, so it misses the sibling-distinguishing criterion for 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 guidance on when to use this versus alternatives such as base64_utils or password_utils, and no prerequisites or context. The purpose is implied by the name, but nothing tells the agent when this tool is the right choice.

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?

No annotations are provided, so the description carries the full behavioral burden and delivers almost nothing beyond the basic action. Calling the result 'único' is also imprecise when the schema permits up to 10 UUIDs, and nothing is said about randomness, version semantics, or that v1 may embed time/MAC data.

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 phrase with no filler, which is appropriate for a simple utility. It is arguably too terse rather than wasteful, but there is nothing to trim.

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 small no-annotation utility this is nearly adequate, but since 'quantidade' can exceed 1, the return shape (single string vs array) is left unspecified and there is no output schema to fall back on. That gap matters for correct downstream handling.

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 the 'versao' enum and the 1–10 'quantidade' bound documented in the schema itself. The description adds no parameter meaning, so the baseline 3 applies.

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

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

States a specific verb and resource ('Gera um UUID'), so the agent immediately knows this produces UUIDs. It does not need sibling differentiation since no other sibling generates identifiers, but it omits that versions and batch quantities are supported.

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 prefer this tool, when v1 vs v4 matters, or any prerequisite context. The agent must infer everything from the 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?

No annotations are provided, so the description carries the full behavioral burden. It says nothing about whether sanitizar/minificar destroy content, what permissions are needed, or how outputs differ across 12 operations. The single list sentence conveys intent but zero behavioral traits beyond the name.

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

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

One front-loaded sentence with no filler, and the enumeration is immediately scannable. The laundry-list style is slightly dense but every token is doing work. It could have traded one or two verbs for real usage guidance, but nothing 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?

A 12-operation, 14-parameter tool with no output schema and no annotations needs the description to explain how behaviors and returns vary by operation, which it never does. It is complete enough only because the schema documents each parameter; the operation-level semantics remain unexplained.

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 each of the 14 parameters carries a clear inline description, including conditional notes like 'apenas para operação comparar'. The description itself adds no parameter semantics, so the baseline 3 is appropriate since the schema already 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 resource (HTML) and enumerates the operations it bundles, so an agent knows this is an HTML processing hub. It doesn't differentiate from siblings, but the siblings (json_utils, xml_utils, base64_utils) target other formats, so the domain separation is mostly self-evident. The verb list is a grab-bag rather than a single crisp verb, which keeps it from 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 guidance on when to pick this tool over alternatives, nor any hint about which operation to choose for a given intent. The 'obrigatório para maioria das operações' style detail lives only in the schema, and no exclusions or prerequisites are stated. An agent gets a verb list but no routing logic.

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?

No annotations are provided, so the description carries full behavioral burden. It merely lists operation categories without disclosing any behavioral traits such as whether operations are read-only, whether they mutate state, what permissions are required, or what the output looks like. This is a significant omission for a multi-operation utility.

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

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

The description is a single, front-loaded sentence with no filler. It is concise and wastes no words, though given the tool's complexity and ten operations, it is arguably too terse to be fully effective.

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 tool with 14 parameters, 10 enum operations, nested objects, and no output schema, the description is far too sparse. It does not explain how operations map to parameters, what results to expect, or any behavioral context. An agent must rely almost entirely on the schema to use it 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?

Schema description coverage is 100%, so the schema already documents all 14 parameters thoroughly. The description adds no additional parameter meaning, but the baseline of 3 applies 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?

The description names the resource ('JSON') and lists generic verbs (gerar, validar, converter, formatar, analisar, manipular), but it is a broad catch-all that does not distinguish the ten operations or differentiate from sibling utility tools. An agent knows it is about JSON, but not what specific capability this tool uniquely provides.

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 given on when to use this tool versus alternatives, nor on prerequisites or conditions for each operation. The description simply states the tool is a complete JSON utility, leaving the agent to infer usage from the schema.

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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It fails to mention any characteristic traits: it doesn't say whether operations are pure, whether they make network requests (important for 'verificar vazamentos'), whether they have side effects, or what permissions are required. The lack of annotations combined with a boilerplate description leaves the agent with no behavioral 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?

The description is a single, compact sentence that front-loads the core purpose. It is efficient and avoids unnecessary words, though it is so terse that it may be perceived as under-specified rather than concise.

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 tool with 14 parameters, multiple operations (including a potentially network-dependent 'verificar' leak check), and no annotations, the description is insufficient. It does not explain operation scoping, requirements, or behavioral differences between modes, and provides no output info despite lacking an output 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?

Schema description coverage is 100%, so the schema already fully documents all 14 parameters. The description adds no parameter-specific information beyond what is already in the schema; it only lists the operations, which are also already enumerated in the schema. Baseline 3 is appropriate when the schema does all the work.

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 lists verbs (gerar, analisar, validar, criar frases-senha) but is essentially a restatement of the enum values found in the input schema's 'operacao' parameter. It does not distinguish this tool from any sibling or specify its scope beyond the generic function of 'password utilities'.

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 or when-not-to-use guidance is given. The description merely lists the possible operations, leaving it to the agent to infer appropriate contexts from the schema alone. No alternatives or exclusions are mentioned.

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?

No annotations are provided, so the description carries the full behavioral burden. It does not state whether the tool returns an SVG string, base64 payload, or terminal output, nor does it disclose side effects, permissions, or output location 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 description is a single front-loaded sentence with no filler or repetition. It names the utility domain first and then the generation action, which is appropriate for the tool.

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?

This is a nine-parameter generation tool with no output schema and no annotations, so the description should clarify output form and behavior. It instead provides only a one-line summary of purpose and input categories, leaving return values and execution semantics undocumented.

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 the schema already documents all nine parameters, including enums and defaults. The description mentions formats and configurations but adds no syntax or meaning beyond what the schema provides.

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

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

States a specific verb (gerar) and resource (QR codes) and lists input categories (URLs, textos, dados diversos). The resource is clearly distinct from all sibling utility tools, which cover CPF, CNPJ, hashes, dates, and similar unrelated domains.

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 explains what the tool does but gives no explicit when-to-use guidance, prerequisites, or alternatives. There are no sibling QR tools to route against, but the definition still leaves usage conditions entirely 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?

No annotations are provided, so the description carries the full behavioral burden, yet it says nothing about error handling, permission requirements, what happens on malformed XML, or return behavior. The operation list merely duplicates the enum rather than disclosing traits like validation output structure or comparison 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?

A single front-loaded sentence with no filler, but half of it is a redundant re-listing of enum values already present 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 13 parameters, no annotations, and no output schema, the definition is a multi-operation dispatcher whose behavior and return shapes are undescribed. The one-sentence description is not sufficient for an agent to know how results or errors come back for each operation.

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 the baseline is 3. The description adds no parameter-level meaning beyond the operation names already captured in the 'operacao' enum, so it neither compensates nor degrades.

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 (XML) and enumerates the concrete operations (formatar, minificar, validar, converter, extrair, analisar, manipular), so an agent can tell it apart from html_utils_dev-tools and json_utils_dev-tools by data type. It is clear what the tool does, though sibling differentiation is only implicit via the resource name.

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 choose this tool over html_utils or json_utils, nor any conditions, prerequisites, or exclusions for the individual operations. Usage must be inferred entirely from the enum values in the schema.

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