workspace-mcp
Server Quality Checklist
Latest release: v1.0.0
- Disambiguation2/5
Multiple file-mutation tools overlap significantly: create_file, write_file, and update_file can all write full file content, and move_file supersedes rename_file. delete_project is essentially a specific case of delete_directory with recursive. Though descriptions are detailed, the boundaries are blurry and agents could easily select the wrong tool.
Naming Consistency4/5Most tool names follow a consistent verb_noun snake_case pattern (create_file, delete_directory, generate_readme, validate_workspace). The outlier is project_tree, which is a noun phrase, and it conflicts with the similarly named generate_project_tree, creating a minor inconsistency.
Tool Count3/5With 22 tools, the set feels heavy, and several tools are near-duplicates (rename_file vs move_file, write_file vs update_file), making it padded. A streamlined set of 15-18 tools could cover the same functionality without redundancy.
Completeness3/5File CRUD, search, and project management are well covered, but there is no copy operation for files or directories, and no general rename/move for directories other than top-level projects via rename_project. These are notable gaps for a workspace management tool.
Average 4.2/5 across 22 of 22 tools scored. Lowest: 3.3/5.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 6 commits in the last 12 weeks
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI is failing
This repository is licensed under MIT License.
This repository includes a README.md file.
No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.
Tip: use the "Try in Browser" feature on the server page to seed initial usage.
Add a glama.json file to provide metadata about your server.
If you are the author, simply .
If the server belongs to an organization, first add
glama.jsonto the root of your repository:{ "$schema": "https://glama.ai/mcp/schemas/server.json", "maintainers": [ "your-github-username" ] }Then . Browse examples.
Add related servers to improve discoverability.
How to sync the server with GitHub?
Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.
To manually sync the server, click the "Sync Server" button in the MCP server admin interface.
How is the quality score calculated?
The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).
Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.
Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).
Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.
Tool Scores
- Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavioral traits. It hints at overwriting via '(Re)generate' and lists the standard sections, but it does not clarify whether an existing README is overwritten, whether the file is created if missing, or what side effects or return values to expect. The mutation behavior remains ambiguous.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise and front-loaded: one sentence states the purpose and another documents the key argument. There is no redundant or filler content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
While the presence of an output schema reduces the need to document return values, the tool has 10 parameters and no annotations. The description fails to explain optional parameter behavior, overwrite semantics, or failure modes, leaving significant gaps for an agent to use all options confidently.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 10 parameters and 0% schema description coverage, so the description must compensate. It only documents project_path; the other nine optional parameters are listed as section names but their semantics and interaction with auto-generation are not explained. This adds minimal meaning beyond their titles.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's action (generate/regenerate) and the target resource (README.md), with a specific scope: 'for a project with the standard sections'. It is easily differentiated from sibling file and project tools, which focus on generic file operations.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies the tool is for generating a standardized README, and gives the useful path guideline 'relative to the workspace root'. However, it does not explicitly state when to prefer this over alternatives like create_file or update_file, nor does it mention any exclusions or prerequisites.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses that the tool produces CLOUD.md and includes certain content sections, but it does not explicitly state that it overwrites an existing file, requires an existing project, or performs any reads of project files. This 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.
Conciseness4/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise and front-loaded with the main purpose. However, it only documents one parameter, which is a completeness issue rather than a structure problem. The sentence is efficient, but the parameter section is incomplete.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has 9 parameters and no annotations, the description is incomplete. It explains what the log contains but does not explain what each optional parameter does, how they affect generation, or any prerequisites. An agent would be uncertain about how to pass meaningful values for fields like 'important_decisions' or 'known_limitations'.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Only project_path is described in the Args section. The other 8 parameters are left without explicit descriptions, despite the narrative mentioning content categories that match them. Schema coverage is 0%, so the description does not compensate for the undocumented parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('(Re)generate') and the resource ('CLOUD.md -- the AI work log') with a specific explanation of what it documents (goal, architecture decisions, files created/updated, implementation notes, known limitations, future work). This distinguishes it from sibling tools like generate_readme or generate_project_tree.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage: you call this when you need to create or refresh the AI work log for a project. It provides clear context for what the tool is for, though it does not explicitly address alternatives or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden of disclosure. It provides useful context such as pattern being evaluated relative to root, root being relative to the workspace, and max_results being a cap. However, it omits other behavioral details like recursion behavior, handling of hidden files, or error cases.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is highly concise, with a clear opening line followed by a simple Args list. Every sentence contributes meaningful information, and the format is well-structured for quick parsing.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description covers the core functionality and parameters, and an output schema exists to handle return values. However, it lacks guidance on choosing this tool over siblings and does not mention edge cases or limitations, leaving some gaps in completeness for a tool with this scope.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, but the description fully explains all three parameters: pattern (glob pattern relative to root), root (directory relative to workspace root), and max_results (cap on matches). This adds meaning beyond the schema's type/default information, fully compensating for the lack of schema descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool finds files by glob pattern, specifying a verb and resource. However, it does not explicitly distinguish itself from sibling tools like find_text or list_directory, so it lacks explicit sibling differentiation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives such as find_text (searching file contents) or list_directory (listing a directory). The description only explains what the tool does, not when it should be preferred.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It explains the search behavior and the cap on results, indicating it returns matching lines. It does not explicitly state that it is read-only, but 'search' strongly implies this. No contradictions exist.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description starts with a one-sentence summary and then lists parameters in a clear, compact format. Every line is informative, with no unnecessary detail or repetition.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the output schema exists, return values do not need explanation. The description covers essential behavior and parameters adequately, though it lacks usage guidance relative to sibling tools, which slightly reduces completeness for agent decision-making.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema provides no descriptions for any parameter, so the description is essential. It clearly explains each parameter, including the practical meaning of 'max_results' as a cap on returned lines, adding significant value beyond the raw schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it searches file contents for a literal text string, using 'grep-like' to set expectations. It is specific about the action and resource, but does not explicitly differentiate from sibling 'search_files' beyond implying a focus on file contents.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus the sibling 'search_files'. There are no exclusions or alternative recommendations. The 'grep-like' hint is implied but not explicitly actionable.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of disclosure. It does indicate that the tool writes a saved file (PROJECT_TREE.md) and '(Re)generate' implies overwriting an existing file. However, it does not explicitly state overwrite behavior, required permissions, or any side effects on the project directory, leaving some ambiguity around its safety profile.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise and well-structured. It front-loads the main purpose in the first sentence, then provides an args list with a brief explanation of the single parameter. Every sentence contributes essential information with no redundancy or filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with only one parameter and an output schema, the description covers the core purpose and parameter semantics. However, it lacks usage guidelines and explicit behavioral notes (e.g., overwrites existing file per path), making it adequate but not fully complete. The output schema fills the return-value gap, so this is not a major issue.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema only defines 'project_path' as a string with no description, and schema coverage is 0%. The description compensates by explaining that it is the path to the project directory, relative to the workspace root, which clarifies both the format and scope. This adds meaningful context beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's function: it (re)generates PROJECT_TREE.md, a saved visual ASCII tree. The verb 'generate' combined with the specific resource 'PROJECT_TREE.md' precisely defines the action. It also distinguishes from sibling tool 'project_tree' by emphasizing that it saves the tree to a file.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description does not provide any guidance on when to use this tool versus alternatives like 'project_tree' or 'generate_readme'. It lacks context about typical use cases, prerequisites, or scenarios where this tool should be preferred, leaving the agent to infer appropriateness 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.
- Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the transparency burden. It discloses that it reads full text content and that the path is relative to the workspace root, but doesn't mention error behavior, encoding, or binary file handling. This is minimal but adequate for a simple read operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise, containing a one-sentence purpose and an args block. No wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with a single parameter and an output schema, the description is largely complete. It defines the scope and parameter semantics. However, it doesn't cover error cases or what types of files are supported, which would be helpful.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0% description coverage, so the description must explain the parameter. It provides a clear explanation that 'path' is relative to the workspace root, adding meaning beyond the bare schema. It could also specify that it must refer to a file, not a directory, but the current explanation is sufficient.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool reads the full text content of a file in the workspace. The verb 'Read' plus resource 'file' and scope 'full text content' distinguishes it from siblings like list_directory or search_files.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage when you need a file's full contents, but doesn't explicitly state when to use it instead of alternatives like search_files or find_text. It lacks exclusions or alternative guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full transparency burden. It discloses that the listing is immediate and confined to the workspace, and it explains the include_hidden option, but it does not mention error behavior, sorting, or other edge cases. For a simple read-only list, the core behavior is adequately exposed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short, front-loaded with the main purpose, and uses a clean Args block. Every sentence adds meaningful information without any filler or repetition.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple and has an output schema, so return values are covered elsewhere. The description adequately covers the workspace boundary, the non-recursive nature, and hidden-file handling. It could explicitly mention why someone would choose this over project_tree, but that is a minor gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Both parameters are fully explained in the description: path is described as relative to the workspace root with a default, and include_hidden is described as controlling dotfile inclusion. This goes well beyond the schema, which only provides names, types, and defaults.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('List'), names the resource ('directory'), and scopes it to the workspace. The word 'immediate' clearly distinguishes this from a recursive tree listing, which is a key differentiator from sibling tools like project_tree.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies the tool is for listing a directory's contents but gives no explicit alternatives or when-not-to-use guidance. It does provide useful context by restricting to the workspace root, but it never mentions when to use project_tree or search_files instead.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior3/5
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 discloses the overwrite behavior ('replace an existing file at the destination') and workspace scoping, but does not mention failure modes, permissions, or what happens when overwrite is False.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is compact and front-loaded, with a clear one-line summary followed by a brief, well-structured Args block. Every sentence provides useful information without filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description covers the core operation and all parameters, and an output schema exists so return-value details are not required. However, edge cases like destination parent directory creation or error behavior when overwrite is False are not specified, leaving some ambiguity for a mutating tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema provides zero description coverage (0%), but the description fully compensates by explaining all three parameters, including the crucial 'relative to the workspace root' detail and overwrite semantics. This adds significant value beyond the bare schema titles.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool moves (or moves and renames) a file to a new location within the workspace, which is a specific verb and resource. It does not explicitly contrast with the sibling tool rename_file, but the operation is unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear context by limiting operation to the workspace and specifying that paths are relative to the workspace root. However, it does not mention when to prefer this tool over alternatives like rename_file, and no exclusions are stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the transparency burden. It discloses that nothing is saved to disk and that the path is relative to the workspace root, which are meaningful traits. However, it does not address error behavior, hidden files, or symlink following, keeping it at an adequate but not exhaustive level.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two efficient sentences, front-loaded with the action and object, followed by a compact Args block. Every clause carries information (ASCII tree, not saved, relative path), and there is no filler or repetition.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a one-parameter tool with an output schema, the description sufficiently covers purpose, side-effect, and path semantics. It lacks explicit alternative guidance, but the 'not saved to disk' note partially clarifies its role among siblings. Overall, it is nearly complete for its simplicity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema provides only a string type and default for 'path' with no description (0% coverage). The description compensates by explaining that path is the 'Directory to render, relative to the workspace root,' adding important semantics about location and interpretation. With a single parameter, this fully covers the parameter.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description uses the verb 'Render' and identifies the resource: 'a visual ASCII tree of a directory's contents.' It is specific about the output format and scope, and the parenthetical 'not saved to disk' helps distinguish it from generators like generate_project_tree.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is implied rather than explicit: the description says the tree is 'not saved to disk,' which suggests this is for quick in-memory viewing. However, it does not name alternatives or say when to choose this over generate_project_tree or list_directory, so it stops short of clear guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the burden of disclosing behavior. It explicitly states this is a reporting (read-only) operation and enumerates what will be reported, giving a clear picture of side-effect-free behavior. It does not describe error handling or edge cases (e.g., missing workspace), but the core behavior is transparent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, well-structured sentence that front-loads the action and lists specific outputs. Every word adds meaningful information, with no redundancy or filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple (zero parameters), has a provided output schema, and the description covers the key aspects of what the report includes. Given the output schema exists, the description does not need to detail return values further, making it complete for this tool's complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has zero parameters, so parameter semantics are not applicable. The description adds value by explaining the scope of the report, which is more than baseline for a parameterless tool.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly specifies the verb 'Report' and the resource 'workspace configuration and health', listing concrete items (root directory, existence/writability, size limits, allowed extensions). This distinguishes it from sibling tools like validate_path, which targets path validation rather than entire workspace health.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies use for checking workspace health but provides no explicit guidance on when to use this tool versus alternatives like validate_path, nor any exclusions or prerequisites. There is no mention of when this should be preferred or avoided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry all behavioral disclosure. It states the core mutation behavior and the prerequisite that the file exists, but it does not mention error handling, security implications, or other side effects. This is acceptable but not richly transparent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise: one sentence for behavior plus a small Args block. Every word earns its place, and it is front-loaded with the core purpose. No fluff or redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with two required params and an output schema, the description covers the essential points: both parameter meanings and the existing-file constraint. It does not describe return values (output schema exists) but omits error scenarios (e.g., what happens if the file does not exist). Overall, it is sufficiently complete for the tool's low complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0% description coverage, so the description must explain parameters. It does so well: 'path' is defined as relative to workspace root and must exist, while 'content' is described as text to append. This adds meaningful context beyond the bare schema, though it lacks examples or additional nuance.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Append text to the end of an existing file') with a specific verb and resource. It distinguishes itself from siblings like write_file (overwrite) and create_file (create new) by emphasizing 'existing file' and 'append'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides a clear usage context: file must already exist and text is added to the end. It implicitly tells the agent not to use this tool for creating or overwriting files, though it does not explicitly name alternative tools. This is clear guidance without exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses that overwrite=True replaces an existing project, which is a key destructive behavior. However, it omits other details such as whether the operation is reversible, what happens if old_name doesn't exist, or any permission requirements. This is average transparency for a mutation tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is front-loaded with a one-line purpose, followed by a clean, structured Args block. Every sentence is informative and adds value without unnecessary verbosity. The format is standard and easy to parse.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple 3-parameter rename operation, the description covers purpose, parameters, and the overwrite condition. It does not explain return values, but an output schema exists, so that is not required. Missing edge-case behavior (e.g., what happens if new_name exists and overwrite is false) is a minor gap, but overall the tool is well specified.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate. It does: each parameter (old_name, new_name, overwrite) receives a plain-language explanation that adds meaning beyond the schema's property titles. It could be more detailed (e.g., constraints), but it is fully adequate for an agent to understand all three parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('Rename (move)') and resource ('a project directory') with explicit context ('within the workspace'). This distinguishes it from sibling tools like rename_file and move_file, which apply to files. The parenthetical '(move)' also clarifies that rename implies relocation, leaving no ambiguity about the tool's function.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description establishes a clear context: it is for renaming project directories, not files. This implicitly tells the agent when to use it versus rename_file/move_file. However, it does not explicitly state when not to use it or provide alternative tool names, so it falls short of the full 'when/when-not' guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses the primary side effects: creating specific subfolders and files, and allows overriding the default scaffold via the structure parameter. However, it does not mention behavior if the project already exists or any potential failure modes.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-structured with a clear purpose sentence followed by an Arg list. It is somewhat long due to enumerating default folders, but that detail is relevant. It is concise enough while providing essential context.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description fully compensates for the lack of annotations and thin schema by explaining the scaffolding process, defaults, parameter effects, and included files. Since an output schema exists, return values need not be described. It is complete for a create tool of this complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, but the Args section adds significant meaning to every parameter: name validation rules, structure's role in replacing the default scaffold, description's use in README/CLOUD.md, and include_docker's effect. This far exceeds the schema's minimal definitions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool creates a new project inside the workspace with a conventional folder structure and additional files. This specific verb+resource is distinct from siblings like create_file and create_directory, which are lower-level operations.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The usage context is implied (for scaffolding a new project with standard folders and files), but there is no explicit guidance on when to choose this tool over alternatives like create_directory or generate_readme. No exclusions or when-not-to-use conditions are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior5/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It explicitly states the deletion is permanent, covers the entire project directory and all contents, and emphasizes that the confirm parameter must be True because the action is irreversible. This clearly discloses the destructive nature of the tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise and well-structured, with a clear one-sentence purpose followed by a compact Args block. Every sentence provides necessary information with no fluff or redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple destructive tool with two parameters and an output schema not displayed, the description covers the purpose, scope, and safety requirement adequately. It could be slightly more complete by mentioning behavior if the project does not exist, but the essential information for safe invocation is present.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description fully compensates by explaining both parameters: name identifies the project to delete, and confirm must be explicitly set to True. It adds meaning beyond the schema's types and default by explaining the safety purpose of confirm, which is essential for correct invocation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool permanently deletes an entire project directory and everything in it, using a specific verb and resource. However, it does not explicitly distinguish itself from the sibling delete_directory tool, so some ambiguity remains about when the project-level deletion should be chosen instead.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description includes a critical usage requirement (confirm must be set to True) and makes clear the operation is irreversible, providing implied guidance that this tool should be used only when the entire project is to be removed. It does not mention alternatives or explicitly state when NOT to use this tool, so guidance is present but not comprehensive.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden of behavioral disclosure. It clearly states that no read/write operation is performed and specifies the safety checks (traversal, workspace boundary, symlink escape). It does not mention return format, but an output schema exists to cover that.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence followed by a minimal args list, with no unnecessary information. Every part adds value and the main purpose is front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple one-parameter validation tool with an output schema, the description covers the tool's scope and safety guarantees. The presence of an output schema removes the need to explain return values, making this complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema provides no description for 'path' (0% coverage), so the description adds essential semantics: 'relative to the workspace root.' This compensates for the schema gap, though it doesn't provide examples or additional constraints beyond being relative.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool checks path validity and safety (no traversal, stays within workspace, no symlink escape) without performing read/write operations. This specific verb+resource scope distinguishes it from sibling file operation tools, though it doesn't explicitly name validate_workspace.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage as a pre-check for path operations ('without performing any read/write operation'), but it does not explicitly state when to use this tool vs. alternatives like validate_workspace or file operations. No exclusions or alternative tool references are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of disclosure. It explicitly warns that the operation is irreversible, that confirm must be True, and explains recursive behavior. This adds significant behavioral context beyond the schema, though it does not mention failure modes or side effects beyond the recursive constraint.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a terse overview followed by a clean Args block. Every sentence adds value; no fluff or repetition of schema fields. The structure is immediately scannable and digestible.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is a straightforward destructive operation, and the description covers all necessary context: scope, irreversibility, and parameter semantics. An output schema exists, so return values are not required in the description. Given the complexity, this is fully complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, so the description is the sole source of parameter meaning. It explains path relative to the workspace root, confirm as an explicit requirement with irreversibility, and the default for recursive with conditions. This fully compensates for the schema gap.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description begins with a specific verb and resource: 'Delete a directory inside the workspace.' This clearly distinguishes it from sibling tools like delete_file and delete_project, and scope is defined relative to the workspace root.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies when to use this tool (when deleting a directory) but does not explicitly mention alternatives or exclusion criteria. The parameter notes clarify the conditions for deletion (e.g., recursive vs. empty directory), but guidance on when to choose this tool over siblings is not provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It explains the overwrite parameter's effect ('If True, replace an existing file with that name') and clarifies that the operation keeps the file in the same directory. However, it does not mention what happens when overwrite is False and the target already exists, nor does it describe error conditions, leaving some behavioral ambiguity.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise and front-loaded: one sentence states the purpose, followed by a clean Args block. There is no redundant or filler text.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple file-operation tool, the description covers the key aspects: what it does, the same-directory constraint, and parameter semantics. The output schema exists, so return values are presumably covered there. Minor gaps like failure behavior when the target exists without overwrite or nonexistent source paths prevent a perfect score, but it is largely complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0% description coverage, so the description must fully document parameters. It does so thoroughly: path is 'relative to the workspace root,' new_name is 'New filename (not a full path) -- e.g. "app.py",' and overwrite is explained with its consequence. This adds significant meaning beyond the raw schema types.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Rename a file in place (keeping it in the same directory).' This uses a specific verb and resource, and the parenthetical explicitly distinguishes it from moving files, which differentiates it from the sibling move_file tool.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear context that this tool is for same-directory renames only, saying 'in place (keeping it in the same directory).' It does not explicitly name an alternative like move_file, but the context implies that cross-directory operations should use a different tool. This is a clear context without explicit exclusions, rating a 4 rather than a 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the transparency burden. It discloses the mutex between find/replace and new_content, the every-match replacement behavior, the count parameter limiting replacements, and the requirement that path 'Must already exist.' It falls short of describing error conditions when find has no matches.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is front-loaded with a one-sentence summary, then a clear usage note, followed by a bullet-like arg list. Every sentence adds information—no filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a mutation tool with five parameters and no annotations, the description covers the two operational modes, parameter semantics, and the existing-file requirement. It omits failure behaviors, but the presence of an output schema reduces the need to document return values. Overall it is substantial but not exhaustive.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema provides no descriptions (0% coverage), so the description compensates fully by defining each parameter: path, find, replace, new_content, and count, including defaults and mutual exclusivity. This adds complete meaning beyond the raw schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description opens with 'Update part or all of an existing file,' which identifies the verb (update), resource (file), and scope (part or all). It clearly distinguishes from sibling tools like create_file and append_file by specifying 'existing file.'
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
It provides explicit usage guidance for parameter combinations: 'Use EITHER (find, replace) for a literal text substitution, OR new_content for a full rewrite -- do not pass both.' However, it does not explicitly name alternative tools or state when not to use this tool, though 'existing file' implies a prerequisite.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the burden of behavioral disclosure. It clearly indicates a mutating operation, explains recursive parent creation, and details the exist_ok flag's effect (error when dir exists if False). This goes beyond the schema's bare types and adds meaningful context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise and well-structured: a one-sentence summary followed by a brief Args block. Every sentence adds value, and the front-loaded purpose is immediately clear.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple directory-creation tool, the description covers the essential context: workspace scope, recursive parent creation, exist_ok behavior, and parameter semantics. It is sufficient for an agent to invoke the tool correctly without further assumptions.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, so the description must compensate. It does so excellently by explaining path as 'Path relative to the workspace root' with an example, and exist_ok with its behavioral consequence. This adds substantial meaning beyond the schema's bare boolean and string types.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb and resource: 'Create a directory (and any missing parents) inside the workspace.' This clearly distinguishes it from sibling tools like create_file and delete_directory, and explicitly notes the recursive parent-creation behavior.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear context by stating the tool creates directories inside the workspace and explains the exist_ok behavior. It does not explicitly name alternatives or exclusions, but the purpose is so specific that usage is well implied.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It reveals the DUPLICATE_FILE error, the overwrite flag's effect, and the path/content semantics. While it doesn't mention whether parent directories are created or describe the success return value, it covers the core behavior and error handling transparently.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-structured with a clear opening statement, an error/condition note, and a concise args list. Every sentence adds value, and the length is appropriate for the tool's complexity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the output schema exists (so return values are covered), the description covers purpose, error behavior, overwrite condition, and parameter semantics. The complexity is low, and the description is sufficient for an agent to correctly select and invoke this tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, but the description compensates fully by explaining each parameter in detail: path relative to workspace root with an example, content as full text, and overwrite semantics. This goes beyond the bare schema and provides actionable meaning.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb and object ('Create a new file') and clarifies the workspace scope. It distinguishes itself from sibling tools like write_file and append_file by explicitly stating it creates a new file and fails if the file exists, which aligns with its create semantics.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description clearly states when to use the tool (to create a new file) and the error condition if the file already exists, with a workaround (overwrite=True). It does not explicitly name alternative tools like update_file, but the 'new file' wording and failure behavior provide clear usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior5/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It clearly states the operation is permanent and irreversible, and that the 'confirm' parameter must be explicitly True, warning the user about the destructive nature. This adds significant value beyond the schema.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise and well-structured: a one-sentence summary followed by a clear Args list. Every sentence adds value, and there is no redundant information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with two parameters and an output schema, the description covers all critical aspects: what the tool does, the workspace context, the irreversibility, and the confirmation requirement. No additional behavioral context seems necessary.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has no descriptions for the parameters (0% coverage). The description compensates fully by explaining 'path: Path relative to the workspace root' and 'confirm: Must be explicitly True; this is irreversible', adding essential meaning for both parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description explicitly states the tool's function: 'Permanently delete a file inside the workspace.' This uses a specific verb and resource, clearly distinguishing it from sibling tools like delete_directory and create_file.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description clearly indicates the tool is for deleting files within the workspace, providing context for when to use it. However, it does not explicitly mention exclusions or alternatives (e.g., 'use delete_directory for directories'), stopping short of a full 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior5/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description fully discloses key behaviors: it overwrites entire content, creates files if missing, and requires confirm=True for overwrites unless the server setting is disabled. This goes beyond basic expectations and gives the agent accurate expectations about side effects and safety.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise and front-loaded. The first sentence states the core purpose, the second addresses a key behavioral condition, and the Args section is clean and structured. No unnecessary text or repetition.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (3 params, no annotations, output schema present), the description covers all essential aspects: purpose, usage conditions, parameter semantics, and behavioral nuances. The existence of an output schema removes the need to explain return values. The description is self-sufficient for an agent to use the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must carry the burden. It does so thoroughly: path is explained as relative to workspace root, content is 'New full text content,' and confirm must be True to overwrite existing files. Every parameter gains meaning beyond the raw schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose with a specific verb and resource: 'Overwrite a file's entire content (creating it if it doesn't exist).' This distinguishes it from siblings like append_file or update_file by emphasizing full replacement and creation behavior.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear context for when to use the tool: for full overwrites or creating new files. It explains the confirm requirement for existing files, giving practical guidance. However, it does not explicitly mention alternatives like append_file or update_file, so it stops short of full exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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