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

With no annotations provided, the description must carry the full burden. It discloses that the operation is a creation (mutating) and that it is 'subject to approval', which is helpful. However, it does not explain the confirm_token parameter, what happens if files already exist, whether the operation is overwrite-safe, or what the success response looks like. Significant behavioral gaps remain.

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 compact (two sentences) and front-loads the core purpose. It includes the essential format example and the approval caveat without unnecessary filler. It is appropriately sized for a simple tool, though it omits some critical details that would make it more useful.

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?

Given the tool's complexity (3 parameters, nested object, no output schema), the description is incomplete. It does not explain the approval workflow, the purpose of confirm_token, potential overwrite behavior, or return values. An agent cannot fully understand how to call this tool correctly or what to expect, especially since the absence of an output schema places more burden on the description.

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

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

Schema coverage is 67% (name and files have descriptions, confirm_token does not). The description repeats the files format ('files = { 'caminho': 'conteúdo' }') which adds little beyond the schema's existing description ('Mapa caminho→conteúdo'). It does not explain the confirm_token at all, failing to compensate for the uncovered parameter. The value added over the schema is minimal.

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 a specific verb ('Cria' – creates), a resource ('pasta de projeto' – project folder), and a distinctive scope ('múltiplos arquivos de uma vez' – multiple files at once). This differentiates it from siblings like make_dir (single folder) and write_file (single file) without needing their schemas.

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

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

The description implies usage for batch project scaffolding ('multiple files at once') and mentions an approval requirement, but it does not explicitly compare with alternatives like make_dir or write_file, nor does it state when NOT to use this tool. The usage context is inferable but not 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 behavioral burden and does add useful context: it only affects the first exact occurrence, only works on existing files, and is subject to approval. But it omits concrete behavioral details such as what happens when old_text is not found, how approval is granted, or how is_regex and replace_all alter 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 compact and front-loaded: the first sentence explains the core operation precisely, and the second sentence adds an important approval constraint. Every sentence earns its place with no 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?

For a mutable file-editing tool with six parameters, no annotations, and no output schema, this description is too thin. It leaves out guidance on confirm_token, regex mode, replace_all behavior, failure cases, and when to prefer this over write_file, making the definition incomplete for reliable autonomous 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 coverage is 67%, and the description clarifies old_text/new_text semantics ('exact first occurrence') and that the target file must already exist. However, it adds nothing about path expectations or confirm_token, which has no schema description, so the parameter guidance is only partially complete.

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 action ('Substitui a primeira ocorrência exata de old_text por new_text') on a specific resource ('num arquivo existente'), which is clear and goes well beyond the tool name. It does not explicitly name or contrast sibling tools like write_file, so it slightly misses the top score for 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?

Usage context is implied: it edits an existing file rather than creating or moving one, which hints at when to choose it over write_file or move_path. However, it never directly says when to use this tool versus alternatives, nor does it mention situations like regex replacement or bulk replacement that the schema exposes.

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 burden. It does disclose the type of data returned and implies a read-only operation, but it does not mention behavior for nonexistent paths, error conditions, or whether both files and folders are supported (though the title suggests file/pasta).

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 concise sentence that front-loads the core concept ('metadados de um caminho') and enumerates the key data fields without filler. Every word 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 low-complexity tool with one parameter and no output schema, the description covers the main returned fields. However, it leaves edge-case behavior and exact return format implicit, so it is adequate but not fully complete.

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%, with 'path' already described as relative to the workspace. The description adds no deeper parameter semantics beyond linking the path to metadata, so the baseline 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 clearly states the tool returns metadata for a path: type, size, creation/modification dates. This is specific enough to distinguish it from listing or workspace-level tools, though it does not explicitly name sibling tools.

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: call this when you need metadata about a single path. There is no explicit when-to-use versus alternatives, nor any exclusions such as 'use list_dir for directory contents'.

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 burden. It discloses what information is returned (root, mode, approval, shell/docker enabled) but doesn't describe the return format, whether it makes network calls, or any side effects. For a read-only info tool, the disclosed behavior is adequate but not rich.

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 sentence that lists the key return values and ends with a clear imperative instruction. Every word earns its place; no fluff or repetition.

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

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

For a zero-parameter, no-output-schema info tool, the description is nearly complete. It states what is returned and when to call it. The only minor gap is not describing the return format (e.g., JSON structure), but with no output schema, a bit more detail on the response shape could help. Still, the essential information is present.

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

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

The tool has zero parameters, so there is no parameter semantics burden. The description adds value by explaining what the tool returns, which is the relevant semantic content for a parameterless tool. Baseline 4 for zero params 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 clearly states the tool returns workspace root, mode (safe/admin), approval status, and whether shell/docker are enabled. It uses a specific verb ('Retorna') and resource ('workspace'), and the 'Chame primeiro' instruction distinguishes it as an initialization/inspection tool. It doesn't explicitly name a sibling alternative, but the sibling list shows this is the only workspace-level info tool, so differentiation is clear.

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 explicitly says 'Chame primeiro' (call first), which is a clear usage directive. It implies this should be called before other tools to understand workspace context. It doesn't explicitly state when not to use it or name alternatives, but for a zero-parameter info tool, the 'call first' guidance is sufficient context.

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

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

No annotations are provided, so the description carries the full disclosure burden. It states only that it lists files and folders within the workspace, omitting details about recursion, output format, hidden-file handling, or sorting. This is minimal behavioral disclosure for a tool that would benefit from such 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, front-loaded sentence with zero filler. Every word contributes to stating the core action and its workspace 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?

For a simple read-only listing tool with one optional, well-documented parameter, the description covers the essential purpose and workspace constraint. Details like return format and recursion are absent, but they are minor for basic correct 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?

The single parameter 'path' is fully documented in the schema with a default value and a description ('Caminho relativo ao workspace'), so schema coverage is 100%. The tool description adds no meaning beyond the schema's 'workspace' context, meeting the baseline.

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 uses a specific verb ('Lista') and resource ('arquivos e pastas de um diretório'), clearly identifying the tool as a directory lister. This naturally distinguishes it from siblings like read_file (file content) and get_file_info (metadata), even without naming alternatives.

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

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

No explicit when-to-use or when-not-to-use guidance is given. The workspace-scoping hint provides context, but the description relies on the agent to infer that this tool is for enumerating directory entries versus alternatives like search_files or read_file.

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 does disclose a key behavior—creating parent directories—and the workspace scope, but it does not explain what happens if the directory already exists, error conditions, or the role of confirm_token. Some behavior is covered, but significant gaps remain.

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 zero waste, front-loading the action and adding one key modifier (parents). Perfectly sized for the content provided.

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 no annotations, no output schema, and 0% parameter coverage, the description is too thin. It explains what it creates but not when confirm_token is needed, conflict behavior, or any error conditions. Agents may handle simple calls but will likely be uncertain in real-world usage.

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

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

Schema description coverage is 0%, and the description does not mention either parameter (path or confirm_token). It adds no meaning beyond the schema's type constraints, leaving the optional confirm_token completely unexplained.

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

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

The description states a specific action ('cria' = creates) and resource ('diretório'), including a key modifier that parent directories are also created. This clearly distinguishes it from sibling tools like write_file or move_path.

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 intended use (creating a directory) is implied by the name and description, but there is no explicit guidance about when to choose this over siblings, no exclusions, and no mention of prerequisites like confirm_token. The usage is implied but not elaborated.

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 behavioral transparency burden. It does disclose a meaningful trait: the operation is subject to approval. However, it omits important behavioral details such as what happens on destination conflicts, whether the source is removed after moving, how approval is granted, and what errors may occur.

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 compact two-clause sentence with no filler. It front-loads the action and resource, then adds the approval caveat at the end. Every part 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?

This is a mutating tool with no annotations and no output schema, yet the description does not explain the approval flow, the confirm_token parameter, path constraints, or return/error behavior. The core purpose is covered, but an agent would not have enough information to invoke it reliably in non-trivial cases.

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, but it barely does. The from/to roles are inferable from the move/rename wording, yet the description never explains path formatting, required scope, or the purpose of confirm_token, which is especially problematic because the approval caveat hints at it but never connects it to the parameter.

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: moving or renaming a file/folder within the workspace. It is clearly differentiated from sibling tools like write_file, edit_file, and make_dir, all of which perform different operations.

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 context is reasonably clear: use this tool when a file/folder needs to be moved or renamed inside the workspace. However, there is no explicit when-to-use vs. when-not-to-use guidance, no mention of alternatives, and no discussion of when the approval requirement activates beyond a brief warning.

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?

Sem anotações, a descrição carrega o peso do comportamento. Ela revela que a operação é de leitura de texto e explica os modos parciais, mas não detalha codificação, comportamento de erro ou formato de retorno. Não há contradição com anotações.

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?

Duas frases objetivas, sem repetição do que já está no schema e com a informação principal (ler arquivo) posicionada primeiro. Nenhuma palavra desperdiçada.

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?

Para uma ferramenta simples de leitura, a descrição cobre o essencial: recurso, parâmetros e caso de uso de arquivos grandes. A ausência de detalhes sobre retorno ou erros é aceitável, pois a operação é direta e o schema já documenta todos os parâmetros.

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?

O schema já cobre 100% dos parâmetros, mas a descrição agrupa offset_lines/limit_lines e tail_lines em modos de uso (fatia vs últimas linhas), adicionando significado relacional que auxilia o agente a escolher a combinação correta.

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?

A descrição usa o verbo 'Lê' e o recurso 'arquivo de texto', definindo claramente a operação. A menção a leitura parcial também ajuda a distingui-la de read_multiple_files e das ferramentas de busca.

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?

A descrição fornece contexto de uso claro para arquivos grandes, citando os modos de leitura parcial. Não menciona explicitamente alternativas como read_multiple_files, mas o escopo 'um arquivo' já fica implícito pelo nome e descrição.

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 behavioral burden, and it does clearly indicate a read-only batch operation on workspace text files. However, it does not disclose behavior for missing paths, binary files, size limits, or error handling, and there is no output schema to clarify the return 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 conveys the core action, target, and scope with no filler. Every word 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?

The tool is simple, with one well-documented parameter and no nested schema, so the description is mostly adequate. Still, because there is no output schema, the description could have clarified what the tool returns, and it omits practical constraints like maximum number of paths or handling of missing files.

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%: the paths parameter is already described as 'Caminhos relativos ao workspace'. The description adds context that the files are text and multiple, but it does not add meaningful detail 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 states a specific verb ('Lê'), a resource ('vários arquivos de texto do workspace'), and a distinguishing constraint ('de uma vez'). It clearly separates this tool from the sibling read_file, which handles a single file.

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

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

The phrase 'de uma vez' implies batch reading, giving some usage context, but it does not explicitly tell the agent when to prefer this over read_file or mention any exclusions. Usage guidance is present only by implication.

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 burden and does add useful behavior: it excludes .git/node_modules/dist and large binary files and states the output format. It does not mention result limits, case-insensitivity, or how regex mode is activated, but those are partly encoded in the schema defaults.

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 place the main verb, resource, output format, and key exclusions up front with no filler. 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?

The description covers purpose, return format, and ignored files, which is adequate for a simple search tool. However, it is incomplete for an agent choosing among siblings: it lacks alternative routing, undocumented parameter semantics, and any behavior about limits or matching options beyond 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 only 40%; max, is_regex, and ignore_case have no schema descriptions, and the tool description does not explain them. It only reinforces regex support and workspace scope, adding little parameter-level meaning beyond the schema's existing query/path descriptions.

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 action ('Procura texto/regex dentro dos arquivos do workspace') and the concrete return format ('arquivo:linha: trecho'), which is clear. It does not explicitly contrast with sibling search_files, though the title's '(grep)' and 'dentro dos arquivos' make the content-search intent clear.

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 statement explains when to choose this tool over search_files, list_dir, or read_file. The only usage signal is the implicit grep-style purpose; there are no exclusions or alternative tool recommendations.

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 does disclose important traits: recursion and ignored directories (.git/node_modules/dist). However, it does not describe the output format, behavior on nonexistent paths, whether directories are excluded entirely, or how the max parameter affects results.

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 with a parenthetical for constraints. Every element earns its place: the action, the matching rule, the recursive behavior, and the exclusion list. There is 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 simple 3-parameter tool, the description gives the core invocation context (recursive, ignores common vendored directories), but omits return value shape, error behavior, and explicit differentiation from content search. Given no output schema and no annotations, these omissions leave noticeable 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?

The schema already documents query as a case-insensitive filename substring and path as a workspace-relative directory, so the description adds little parameter-level meaning. The max parameter has no schema description and the description does not compensate for that gap, though its name and adjacent constraints provide some clarity.

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 uses a clear verb ('Procura') and a specific resource ('arquivos cujo nome contém o termo'), and adds recursive scope and an ignore list. It is unambiguous and conceptually distinct from search_content, though it does not explicitly name or contrast sibling tools.

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

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

There is no guidance on when to use this tool over alternatives like list_dir or search_content. The phrase 'por nome' implies filename-based search rather than content search, but the selection logic is left entirely to inference.

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

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

With no annotations provided, the description carries the full behavioral burden and does it well: it discloses destructive overwrite, the parent-directory creation side effect, and the policy/approval gate. This adds context that annotations would otherwise need to supply, though the confirm_token confirmation workflow is left unexplained.

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

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

Three sentences with the primary action front-loaded first, followed by the side effect and the constraint. Every sentence contributes a distinct fact and there is 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 tool with no annotations and no output schema, the description covers the essential operational facts: core action, destructive overwrite, directory side effect, and approval gate. The notable gap is that the confirm_token parameter implies a two-step confirmation workflow the description does not explain.

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%, placing the baseline at 3, but the description adds genuine semantic value to the path parameter by stating parent directories are auto-created — telling the agent it can supply a path in a non-existent directory. The schema conveys this nowhere.

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 action ('cria ou sobrescreve' — creates or overwrites) on a specific resource ('arquivo de texto no workspace'), which makes the tool's purpose unambiguous. The create-or-overwrite semantics immediately distinguish it from the closest sibling edit_file and from read_file.

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 overwrite-vs-edit contrast with edit_file is only implied, and the note that parent directories are auto-created implies make_dir may be unnecessary, but no sibling is named and no exclusion conditions are stated.

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