Secure Local Workspace MCP
This server lets ChatGPT safely inspect, modify, and validate local projects through approved directories and fixed Git/task operations.
Check diagnostics and list authorized projects.
Discover Git and non-Git projects beneath user-approved parent folders.
Connect or disconnect projects with configurable read-only, writable, commit, and push permissions.
List, read, and search text files within an authorized project.
Create, patch, and delete text files using SHA-256 guarded edits.
Run only user-configured, allowlisted project tasks.
Show Git status and diff using fixed read-only Git commands.
Unstage explicit Git paths without losing working-tree changes.
Commit only explicit files after status, concurrency, and sensitive-content checks.
Push the current commit to an allowlisted remote/branch without force, only if locally enabled.
Provides read-only inspection of authorized local Git repositories, including git status and git diff, without allowing arbitrary Git commands or remote operations.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Secure Local Workspace MCP调用 list_projects,只返回项目名称和是否可写。"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Secure Local Workspace MCP
English | 中文(默认)
Let the ChatGPT web version securely connect to local projects: whether or not Git is used, you can view, search, and modify files, and run whitelisted tasks; Git projects can also check diffs, create local commits, and push to a specified remote and branch after explicit user authorization.
You don't need to install Codex. ChatGPT calls the MCP service still running on your computer through the OpenAI Secure MCP Tunnel; the project directory and MCP port don't need to be exposed to the public internet.
Choose Your Use Case First
Your situation | Where to start |
Connecting to ChatGPT for the first time, no Tunnel yet | Follow First-time installation: connect to ChatGPT from scratch |
Tunnel already works in ChatGPT, just want to add a project | |
Project already connected, want ChatGPT to modify or commit | Copy the daily-use prompts directly |
Want to allow ChatGPT to push | First complete Enable controlled push separately |
Installation or connection errors | See FAQ |
Related MCP server: Local Supervisor Bridge
What You Get
Workflow | MCP tools | Key protections |
Discover projects |
| Identifies Git repositories and common non-Git projects, only scans pre-approved parent directories |
Connect or revoke |
| Cannot go beyond the approved scope; revoking does not delete project files |
View and search |
| Restricts directories, depth, count, and file size |
Modify files |
| Modifying or deleting existing files must match the latest SHA-256 |
Run verification |
| Can only run configured fixed tasks |
Review Git |
| Fixed read-only Git commands, returns status/diff hashes |
Local commit |
| Explicit files, concurrency-protected status, sensitive-content scan, does not mix in existing staged content |
Remote push |
| Disabled by default; only allows specified remote/branch; force push prohibited |
The project does not provide arbitrary Shell, git add ., force push, history rewriting, production deployment, or arbitrary disk access.
First-time Installation: Connect to ChatGPT from Scratch
The following flow uses Windows PowerShell as an example. Usually only needs to be done once.
Step 1: Check Prerequisites
You need:
Windows PowerShell;
Git;
Node.js 20 or higher;
Access to ChatGPT developer mode;
Permissions required for Tunnel in OpenAI Platform.
Check local commands:
git --version
node --version
npm --versionIf you plan to let ChatGPT create Git commits, you also need to set up your Git identity first. If already set, you can skip:
git config --global user.name "Your Name"
git config --global user.email "you@example.com"Step 2: Download the Project
git clone https://github.com/dxawdc/secure-local-workspace-mcp.git
Set-Location .\secure-local-workspace-mcpStep 3: Prepare the Tunnel on the OpenAI Page
Follow the OpenAI Secure MCP Tunnel official documentation to complete the following:
Create a Tunnel in OpenAI Platform;
Associate the Tunnel with the ChatGPT workspace that will use it;
Create a Runtime API Key for
tunnel-client;Download the latest official
tunnel-client;Record the
tunnel_idand the local path oftunnel-client.exe.
These steps involve account permissions and keys and must be confirmed by the user on the OpenAI page; the project will not create or read account credentials on your behalf.
Step 4: Save the Runtime Key Outside the Repository
Don't write the Key into the README, project config, Git, or PowerShell command history. You can first create a file outside the repository:
New-Item -ItemType Directory -Path "C:\Secrets" -Force
notepad "C:\Secrets\openai-tunnel-runtime-key.txt"Paste the Runtime Key in Notepad, keep only one line, save, and close. For production or team environments, switch to an organization-approved key management solution and restrict access to this file.
Step 5: Run One-click Configuration
Replace the three paths and Tunnel ID in the example with your own values:
.\scripts\quick-setup.ps1 `
-ProjectRoot "D:\Projects\my-app" `
-DiscoveryRoot "D:\Projects" `
-TunnelId "tunnel_REPLACEME" `
-TunnelClient "C:\Tools\tunnel-client\tunnel-client.exe" `
-ControlPlaneApiKeyRef "file:C:\Secrets\openai-tunnel-runtime-key.txt" `
-RegisterStartup `
-StartTunnelHow to fill in the parameters:
ProjectRoot: the project directory you want ChatGPT to operate on this time; it doesn't have to be a Git repository;DiscoveryRoot: the parent directory where ChatGPT is allowed to discover projects, usually the parent ofProjectRoot;TunnelId: the realtunnel_idshown in OpenAI Platform;TunnelClient: the downloaded and extractedtunnel-client.exe;ControlPlaneApiKeyRef: the Runtime Key file path, must have thefile:prefix.
The script will automatically complete:
Install Node.js dependencies using the lock file;
Run unit tests and MCP smoke tests;
Set the project to read-write and allow local commits;
Approve the project discovery directory;
Automatically identify
test,lint,build,typecheckinpackage.json;Create and check the Tunnel profile;
Register a login auto-start task for the current user and start the Tunnel immediately.
Push is not allowed by default. Non-Git projects automatically retain file read-write capability while forcibly disabling commit and push; no need to manually add -DisableCommit.
If accessing OpenAI from this machine must go through a proxy, append at the end of the command:
-HttpProxy "http://127.0.0.1:7890"Step 6: Create a Private App in ChatGPT
Enable developer mode in ChatGPT settings. Enterprise/Edu users may need administrator authorization;
Open ChatGPT Plugins;
Click the plus sign to create a developer mode app;
Connection: select Tunnel;
Select the Tunnel you just created, or paste the real
tunnel_id;Create the app and wait for ChatGPT to discover the tools.
The official instructions require tunnel-client to keep running; otherwise ChatGPT cannot discover or call the tools.
Step 7: Verify the Connection
In a new ChatGPT conversation, select or @ this app, then send:
调用 diagnostics 和 list_projects。
告诉我 Tunnel 后面的本地 MCP 是否正常,并列出已授权项目、读写权限、commit 权限和 push 权限。
不要修改任何文件。Under normal circumstances you should see the project list, and the default allowPush should be false. The new version provides 17 tools in total; if the old tools are still showing, restart the Tunnel and refresh the app in ChatGPT or start a new conversation.
Already Have a Tunnel: Add a New Project
If both the Tunnel and the login auto-start task were configured through this project, run in the repository directory:
.\scripts\quick-setup.ps1 `
-ProjectRoot "D:\Projects\another-app" `
-DiscoveryRoot "D:\Projects" `
-SkipInstall `
-SkipTests `
-RestartTunnelThis adds or updates the project configuration without overwriting other authorized projects.
If you did not register the login task through this project, remove -RestartTunnel; after configuration is complete, restart tunnel-client the way you did before. After restarting, refresh the tools in the ChatGPT app settings.
Let ChatGPT Automatically Connect Non-Git Projects
Common Node.js, Python, Java, Go, Rust, .NET, PHP, Ruby, Elixir, Swift, CMake and other project directories will be automatically recognized by discover_projects. Even if a directory has no common project markers, it can still be connected via an explicit absolute path within the approved DiscoveryRoot:
调用 discover_projects,列出已批准目录中的 Git 和非 Git 项目。
把 D:\Projects\notes-app 接入为可读写项目。
如果它不是 Git 仓库,必须自动关闭 commit 和 push。
接入后调用 list_projects,确认 projectType 和最终权限。After ChatGPT calls connect_project, the configuration is persisted immediately and takes effect in the current MCP process; no need to restart the Tunnel again for a single project.
View Only, No Modifications
.\scripts\quick-setup.ps1 `
-ProjectRoot "D:\Projects\reference-project" `
-DiscoveryRoot "D:\Projects" `
-ReadOnly `
-SkipInstall `
-SkipTests `
-RestartTunnelAllow Modifications, But Not Commits
.\scripts\quick-setup.ps1 `
-ProjectRoot "D:\Projects\my-app" `
-DiscoveryRoot "D:\Projects" `
-DisableCommit `
-SkipInstall `
-SkipTests `
-RestartTunnelOnly Add a Discoverable Project Parent Directory
.\scripts\quick-setup.ps1 `
-DiscoveryRoot "E:\OtherProjects" `
-SkipInstall `
-SkipTests `
-RestartTunnelDon't set DiscoveryRoot to the disk root, the entire user directory, or a directory containing large amounts of private files. It should be a parent directory dedicated to storing code repositories.
Daily-use Prompts
The project name is based on the ID returned by list_projects. The following prompts can be copied directly into ChatGPT, then replace the project name and requirements.
1. View and Analyze Only
使用 Secure Local Workspace MCP 检查项目 my-app。
先调用 list_projects 确认项目,再查看与登录流程有关的代码。
解释实现和可能的问题,不要修改文件,不要提交。2. Modify and Test, But Don't Commit
检查项目 my-app 的重复提交问题并完成修复。
修改前重新读取目标文件并使用最新 SHA-256,只改与本次问题有关的文件。
运行项目允许的 test 或 lint 任务,最后展示 git_status 和 git_diff。
不要 commit,不要 push。3. Modify, Test, and Create a Local Commit
修复项目 my-app 的重复提交问题。
运行相关测试,然后展示完整 git_diff 和 git_status。
确认差异只包含本次修改后,使用最新 statusSha256,
只提交本次涉及的明确文件,提交信息为:fix: prevent duplicate submissions。
提交后报告本地 commit SHA。不要 push。4. Only Commit Changes Already Completed
检查项目 my-app 当前 git_status 和 git_diff,不要继续改代码。
如果存在与本任务无关或已经预暂存的文件,停止并告诉我。
否则使用最新 statusSha256,只提交这些明确文件:src/example.js、test/example.test.js。
提交信息为:fix: handle duplicate submissions。不要 push。git_commit will reject:
., directories, or paths outside the project;Git status that has changed after review;
Pre-existing staged changes;
Sensitive paths such as
.env, private keys, certificates, password stores;High-confidence API Keys, Tokens, private keys, or real Tunnel/organization identifiers;
git diff --cached --checkfailures;Commit not enabled in the local configuration.
A successful commit only means it has been committed locally, not that it has been pushed.
Enable Controlled Push Separately
Push is an external write operation, so it must be explicitly enabled on this machine for the project. It is recommended to also restrict the target branch:
.\scripts\quick-setup.ps1 `
-ProjectRoot "D:\Projects\my-app" `
-AllowPush `
-AllowedRemote "origin" `
-AllowedBranch "main" `
-SkipInstall `
-SkipTests `
-RestartTunnelThen explicitly request it in ChatGPT:
检查项目 my-app 当前分支、HEAD、git_status 和待推送 commit。
只有在工作区状态和 commit 都符合预期时,才把当前 HEAD 推送到允许的 origin/main。
禁止 force push。分别报告本地 commit SHA、远端分支和推送结果。git_push will not automatically create a commit, nor will it push to an unconfigured remote or branch.
Automation vs. Manual Operation Boundaries
Operation | Automated? | Reason or explanation |
Install dependencies, run tests | Automated |
|
Add discovery directories and projects | Automated | Idempotent update, does not overwrite other projects |
Identify common npm tasks | Automated | Only adds to the fixed task whitelist |
Create and check Tunnel profile | Automated | Requires the user to provide Tunnel ID, Client path, and key reference |
Register login auto-start | Optionally automated | Use |
Create OpenAI Tunnel | User confirmation | Involves OpenAI organization and workspace permissions |
Create Runtime API Key | User confirmation | Keys should only be managed by the user or organization admin |
Create app in ChatGPT | User confirmation | ChatGPT shows permission and connection confirmation screens |
Git commit | ChatGPT executes per explicit instructions | Requires status review and explicit files by default |
Git push | Executed by ChatGPT after local authorization | Disabled by default, remote/branch restricted |
For more detailed batch configuration, proxy, auto-start, rollback, and unattended references, see: Windows Automation Configuration Guide.
Configuration Management
The default configuration file is located outside the repository:
%USERPROFILE%\.secure-local-workspace-mcp\config.jsonIf the new-version configuration doesn't exist, the service will compatibly read the old path:
%USERPROFILE%\.local-project-workspace\config.jsonView the current configuration:
npm run config -- listWhen not using PowerShell automation, you can also call the cross-platform configuration CLI:
npm run config -- add-discovery-root --root "D:\Projects"
npm run config -- add-project `
--root "D:\Projects\my-app" `
--writable `
--allow-commit `
--no-pushThe compatible script bootstrap-config.ps1 also idempotently adds or updates a single project without replacing the entire configuration.
Updating the Project
Set-Location .\secure-local-workspace-mcp
git pull --ff-only
npm ci
npm test
npm run smoke:mcpAfter code or tool definitions are updated, you must restart tunnel-client and refresh the app in ChatGPT or start a new conversation.
Revoking Project Access
Send in ChatGPT:
调用 disconnect_project 撤销项目 my-app 的 MCP 访问权限,然后重新列出项目。This only deletes the local authorization configuration; it does not delete the project directory, files, or Git history.
To remove the login auto-start task:
Stop-ScheduledTask -TaskName "Secure Local Workspace MCP Tunnel"
Unregister-ScheduledTask -TaskName "Secure Local Workspace MCP Tunnel" -Confirm:$falseThis does not delete the Tunnel, Runtime Key, profile, or project files.
FAQ
Git commit identity is missing
First set the Git username and email, then re-run the configuration:
git config --global user.name "Your Name"
git config --global user.email "you@example.com"Scheduled task not found
You used -RestartTunnel, but the Tunnel was not registered through this project. Remove that parameter to complete the project configuration, then restart tunnel-client the way you did before.
Can't see the Tunnel in ChatGPT
Check in order:
Whether the Tunnel is associated with the current ChatGPT workspace, not just the Platform organization;
Whether the current account has Tunnels Read + Use;
Whether ChatGPT developer mode is enabled;
Whether
tunnel-clientis still running and in a healthy/ready state.
ChatGPT Didn't Discover the 17 Tools
Restart the Tunnel runtime;
Run
tunnel-client doctor --profile <profile> --explain;Refresh in the ChatGPT app settings;
Start a new ChatGPT conversation to avoid old sessions continuing to use cached tool definitions.
Project Can't Be Discovered or Connected
The project must be within an approved
DiscoveryRoot;Git repositories and non-Git directories containing common project markers will automatically appear in discovery results;
Ordinary directories without project markers won't be listed automatically, but you can have ChatGPT call
connect_projectwith their explicit absolute path;Non-Git projects will show
projectType: non-gitand have commit and push forcibly disabled;Run
npm run config -- listto check the actual configuration;Re-add the parent directory and restart the Tunnel if needed.
Writes Rejected or SHA Expired
The project must allow writes;
Before modifying or deleting an existing file, ChatGPT must re-call
read_file;After a file is modified by another program, the old SHA becomes invalid; this is normal concurrency protection.
Commit Rejected Due to Existing Staged Changes
First have ChatGPT call git_status to check. When you confirm it's safe to unstage, call git_unstage to handle the explicit files; this operation does not discard working directory content.
Tunnel Works Locally, But ChatGPT Calls Time Out
Check outbound connectivity to
api.openai.com:443;The browser being able to use a proxy doesn't mean
tunnel-clientautomatically uses the same proxy;Write the proxy in via
-HttpProxyduring initial configuration;Check the local firewall, proxy certificates, and organizational network policies.
Local Verification
npm ci
npm test
npm run smoke:mcp
npm audit --omit=devLocal MCP foreground startup:
.\scripts\start-local.ps1The Tunnel status should at least satisfy:
process_running = true
healthy = true
ready = trueSecurity Recommendations
Discovery Root should be a dedicated project parent directory; don't use the disk root or the entire user directory;
Prefer enabling only commit; enable push per project, remote, and branch only when truly needed;
Runtime Key, Tunnel profile, real configuration, and logs must be stored outside the repository;
MCP commit temporarily disables project Git hooks; testing and formatting should be run through the explicit task whitelist;
Still verify the explicit commit SHA, remote, and branch before pushing;
If a key is accidentally committed, revoke it immediately and clean the complete Git history.
For security design and vulnerability reporting, see SECURITY.md.
Official References
License
MIT
Available Tools
17 toolsapply_patchApply a guarded unified patchA
Apply a unified diff to one existing text file after verifying the SHA-256 returned by read_file.
| Name | Required | Description | Default |
|---|---|---|---|
| path | Yes | ||
| patch | Yes | ||
| projectId | Yes | ||
| expectedSha256 | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=false and destructiveHint=false. The description adds the guard context (verification step) which is useful, but it does not disclose what happens on patch failure, SHA mismatch, or non-existent file. No contradiction with annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single, front-loaded sentence that communicates the core action and the guard with zero wasted words. Exemplary conciseness.
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?
Adequate for a guarded mutation tool but incomplete: it does not describe failure behavior, whether changes are reversible, or what happens on SHA mismatch. Given the potential consequences of applying patches, more detail would strengthen completeness.
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 description adds meaning to expectedSha256 (the hash returned by read_file) and patch (unified diff format), which helps beyond the bare schema. However, projectId and path are left to inference, and with 0% schema coverage, more compensation would be expected.
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 ('apply'), resource ('unified diff to one existing text file'), and a distinctive guard (SHA-256 verification). It clearly distinguishes itself from sibling tools like create_text_file and delete_text_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 description implies the prerequisite of calling read_file first (to obtain the SHA-256) but does not explicitly state when to use this tool versus alternatives like create_text_file. It lacks explicit 'when not to use' or alternative routing.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
connect_projectConnect a local projectA
Authorize one directory beneath a locally approved discovery root. Non-Git projects can be edited, but commit and push are automatically disabled.
| Name | Required | Description | Default |
|---|---|---|---|
| label | No | ||
| writable | No | ||
| projectId | No | ||
| allowCommit | No | Applied only when the selected directory is a Git root. | |
| projectPath | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate readOnlyHint=false and destructiveHint=false, but the description adds the key behavioral detail that non-Git projects have commit and push automatically disabled. This is useful context beyond the annotations and helps the agent anticipate side effects. However, it does not detail permission requirements or what happens to existing connections.
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 concise sentences that immediately capture the primary purpose and a critical behavioral condition. No redundant phrases or filler; every clause 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 tool with 5 parameters and no output schema, the description covers the main purpose and a key behavioral nuance but misses parameter semantics and clear usage steps. It does hint at the workflow (authorize before editing), but does not fully prepare the agent for 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?
Schema description coverage is only 20% (just allowCommit). The description does not explain any of the parameters such as projectPath, label, writable, or projectId. With such low coverage, the description should compensate by describing parameter meanings, but it does not. The only implied hint is that allowCommit relates to the commit/push behavior, but it's not explicit.
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 action (authorize a directory) and resource (one directory beneath a locally approved discovery root), and distinguishes it from siblings like disconnect_project and list_projects. The verb 'authorize' is precise and the scope is defined.
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 context (connecting a project before editing) but does not explicitly state when to use this tool versus alternatives such as discover_projects or list_projects. No exclusions or alternatives are mentioned, so it relies on inference.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
create_text_fileCreate a text fileB
Create a new text file without overwriting an existing path.
| Name | Required | Description | Default |
|---|---|---|---|
| path | Yes | ||
| content | Yes | ||
| projectId | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds the non-overwrite behavior, which is useful and not fully captured by the annotations (which only mark readOnly and destructive hints). However, it does not disclose other behavioral traits such as error handling when the path exists, whether parent directories are created, or any permission requirements. Given the annotations cover the readOnly/destructive baseline, the description provides moderate added value but lacks deeper context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, compact sentence that front-loads the action and the critical constraint. Every word earns its place, and there is no fluff or redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has three required parameters and no output schema, and the description does not explain the parameter format, expected inputs, or how the tool interacts with the project. It also lacks guidance on prerequisites or alternatives. For an agent to call it correctly, it would need the schema (which has no descriptions) or external knowledge, making this definition incomplete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate for parameter meaning, but it does not. It provides no explanation of projectId, path, or content beyond their names. An agent has to infer that projectId identifies the project, path is the file location, and content is the text to write, which could be ambiguous.
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 (create), resource (text file), and a key constraint (without overwriting an existing path), which clearly distinguishes it from siblings like delete_text_file and apply_patch. It is not a tautology and leaves no ambiguity about what the tool accomplishes.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. It does not mention that it should be used for creating new files, or that apply_patch or other write mechanisms would be inappropriate. The description only states what it does, not the context or preconditions (e.g., project must be connected) for using it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
delete_text_fileDelete a guarded text fileADestructive
Delete one regular text file only after verifying the latest SHA-256 returned by read_file.
| Name | Required | Description | Default |
|---|---|---|---|
| path | Yes | ||
| projectId | Yes | ||
| expectedSha256 | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already flag destructiveHint and readOnlyHint, so the description adds value by specifying the file type ('regular text file') and the safety requirement (SHA-256 verification). This goes beyond the flags, though it does not disclose behavior on SHA mismatch or irreversibility beyond what 'delete' implies.
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 that front-loads the action and the condition with zero redundancy. Every word earns its place, and the structure is optimally concise for an agent to parse.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a destructive operation, the description covers the essential prerequisite (SHA-256 check) and limits the scope (regular text file). It relies on annotations for destructiveness and omits failure behavior, but the provided context is sufficient for correct invocation in most 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%, requiring the description to explain parameters. Only expectedSha256 is implicitly referenced via the verification condition; path and projectId are left to name inference. This does not compensate sufficiently for the missing schema 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 states a precise verb ('Delete'), a specific resource ('one regular text file'), and a conditioning prerequisite (verifying the latest SHA-256). This clearly differentiates it from sibling tools like apply_patch (modifies) and create_text_file (creates), leaving no ambiguity about its scope.
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 provides a clear condition for use: 'only after verifying the latest SHA-256 returned by read_file.' This explicitly defines a prerequisite but does not name alternatives or exclusions (e.g., when to prefer apply_patch), so the guidance is strong but not fully explicit about when not to use the tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
diagnosticsCheck local project workspaceARead-only
Check configuration and safety capabilities before starting local project work.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds the usage context 'before starting local project work' but does not elaborate on what the tool actually checks or how it behaves beyond that. It does not contradict the annotations and provides minimal additional behavioral detail.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no wasted words. It states the purpose and usage timing efficiently, making it easy for an agent to parse quickly.
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 has no parameters and no output schema, the description could still be more complete by specifying what 'configuration and safety capabilities' refers to and what the result looks like (e.g., a pass/fail report, a list of issues). As written, it leaves the agent without a clear expectation of the output, though it is sufficient to invoke the tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has 0 parameters and the schema coverage is 100% (empty schema). Per the rubric, a baseline score of 4 applies for 0 parameters. The description does not need to explain parameters since there are none.
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 verb 'Check' and the resource 'configuration and safety capabilities' within the context of the local project workspace. It is distinct from sibling tools like list_projects or read_file because it focuses on diagnostics rather than project listing or file operations, though it does not explicitly name siblings.
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 provides a clear usage context: 'before starting local project work.' However, it does not explicitly mention alternatives or exclusion conditions (e.g., when not to use this tool or which sibling tool to use instead). The guidance is implied rather than explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
disconnect_projectDisconnect an authorized projectADestructive
Remove one project from the MCP authorization list without deleting any project files.
| Name | Required | Description | Default |
|---|---|---|---|
| projectId | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate destructive behavior, but the description adds important context by clarifying that only authorization is removed, not files. This goes beyond the annotations and prevents misinterpreting the destructiveness as file loss.
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, word-efficient sentence that front-loads the core action and includes a critical caveat. No waste.
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 one-parameter tool with no output schema, the description covers the main effect and clarifies non-destructiveness to files. It omits potential error cases or how to find projectId, but these are minor for this simplicity level.
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 should explain the projectId parameter. It does not. The tool name and schema property name imply it identifies a project, but no format, source, or how to obtain it is provided. The description fails to compensate for the missing schema detail.
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 ('Remove') on a specific resource ('one project from the MCP authorization list') and explicitly clarifies it does not delete project files. This clearly distinguishes it from siblings like connect_project (which adds) and file-deletion 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?
The description implies usage by stating what it does and what it avoids (file deletion), but it does not explicitly contrast with alternatives like connect_project or give conditions for when to use it. The differentiation is implicit, not explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
discover_projectsDiscover local projectsARead-only
Find Git repositories and common non-Git project folders only beneath parent folders that the user approved locally during setup.
| Name | Required | Description | Default |
|---|---|---|---|
| maxDepth | No | ||
| maxProjects | No | ||
| includeNonGit | No | ||
| maxDirectories | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds a meaningful behavioral detail beyond annotations: the search is limited to approved parent folders and includes non-Git folders. This tells the agent the tool will not scan arbitrary paths, which is important for setting expectations. It doesn't describe return format or performance, but given annotation coverage, this is acceptable.
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 that immediately states the verb and resource, then adds the key scope constraint. No wasted words; every part contributes to the tool's purpose. It is efficient and clear, though brevity comes at the cost of parameter explanation.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, 0% parameter schema coverage, and four parameters, the description is insufficient. It explains only the scope (approved folders) and a hint at non-Git inclusion, but omits what maxDepth/maxProjects/maxDirectories do, what the return shape is, or any pagination/concurrency behavior. For a tool with this parameter complexity and no schema descriptions, the description should do much more to make the tool callable correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate for the four parameters (maxDepth, maxProjects, includeNonGit, maxDirectories). The description only hints at includeNonGit via 'non-Git project folders' but doesn't name or explain any parameter. Depth limits, count limits, and directory limits are entirely undocumented. This leaves the agent with no meaning for the parameters beyond defaults and types.
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 ('Find') and resource ('Git repositories and common non-Git project folders'), and adds a critical scope constraint ('only beneath parent folders that the user approved locally during setup'). This clearly distinguishes it from siblings like list_projects, which presumably lists known projects without that restriction. The purpose is unambiguous and actionable.
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 context by restricting to approved parent folders, but does not explicitly name alternatives or when to use another tool. It lacks guidance on when not to use this (e.g., when a user needs to see all projects regardless of approval status). The constraint hints at a filtering role, but no alternatives are referenced, so an agent has to infer the boundary between this and list_projects.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
git_commitCommit selected project changesB
Stage and commit only explicit relative paths after status review, concurrency validation, whitespace checks, and sensitive-content scanning.
| Name | Required | Description | Default |
|---|---|---|---|
| paths | Yes | ||
| message | Yes | ||
| projectId | Yes | ||
| expectedStatusSha256 | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds useful behavioral context beyond the annotations by revealing that the tool performs concurrency validation, whitespace checks, and sensitive-content scanning. However, it does not explain what happens if these checks fail, the consequences of the commit, or the role of the expectedStatusSha256 parameter in the concurrency mechanism. The description is partially transparent but lacks depth for this complex operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, well-constructed sentence that immediately conveys the core action and its constraints. It is front-loaded with the primary verb ('Stage and commit') and scope ('only explicit relative paths'), followed by the key validation steps. There is no redundant or superfluous language, making it highly concise and effective.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a mutation tool with concurrency checks and four required parameters, the description is incomplete. It does not explain how to compute the expectedStatusSha256, the semantics of paths relative to the project root, or the expected output/behavior after a successful commit. Given the tool's complexity and the lack of parameter documentation, the description is insufficient for an agent to invoke it correctly without additional knowledge.
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 input schema has zero description coverage for its four required parameters, and the description does not explain any of them. While the description mentions 'explicit relative paths' which loosely maps to the `paths` parameter, there is no clarification of the expected format, the meaning of `expectedStatusSha256`, or how `projectId` and `message` should be used. The description adds no parameter-level meaning beyond the schema, which is a significant gap.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool stages and commits only explicit relative paths after performing several checks. It identifies the specific action (stage and commit), the resource (project changes), and the scope (explicit relative paths), which is specific and unambiguous. It also subtly differentiates from a generic commit by emphasizing the selective path requirement.
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 does not provide any guidance on when to use this tool versus alternatives like git_push, git_unstage, or git_status. Although it mentions 'after status review,' it does not explicitly state the conditions for invoking this tool or when to avoid it. There is no mention of alternative tools or exclusions, leaving the agent to infer usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
git_diffShow Git diffBRead-only
Run a fixed, read-only Git diff command in an authorized project.
| Name | Required | Description | Default |
|---|---|---|---|
| staged | No | ||
| projectId | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already cover read-only and non-destructive nature. The description adds that the command is 'fixed' (non-customizable) and requires authorization, which is useful context. However, it does not clarify the effect of the 'staged' parameter or output behavior, so it adds limited value beyond annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single sentence with no redundancy. The key constraint 'fixed, read-only' is front-loaded, and 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, but the description omits how the 'staged' parameter changes behavior (diff against index vs working tree) and does not describe the output format. Given no output schema, this is a notable gap for an agent to invoke it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema coverage, the description should explain parameters, but it only mentions 'Git diff command' without clarifying 'projectId' or 'staged'. The 'staged' boolean is self-evident from Git knowledge, but the description adds no explicit meaning, leaving a gap.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action (run) and resource (Git diff command), and specifies 'fixed, read-only' and 'authorized project'. It is distinct from siblings like git_status by focusing on diff, though it does not explicitly name 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?
Mentions 'authorized project' as a contextual requirement, but provides no guidance on when to use this tool versus git_status or other read-only tools. No exclusions or alternatives are listed, leaving usage to inference.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
git_pushPush the current commitA
Push the reviewed current commit without force to an allowlisted remote and branch. This must be enabled locally per project.
| Name | Required | Description | Default |
|---|---|---|---|
| remote | No | origin | |
| projectId | Yes | ||
| expectedCommitSha | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate non-read-only, non-destructive, and open-world behavior. The description adds meaningful context: the destination must be allowlisted, force push is disallowed, and local per-project enablement is required. These details go beyond the annotations and help the agent understand operational constraints.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, 22 words, with zero fluff. The core action and constraints are front-loaded, and the prerequisite (local enablement) is stated efficiently. 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 mutation tool with no output schema and no parameter descriptions, the description is too thin. It does not explain what happens if the remote is not allowlisted, what 'enabled locally per project' means in practice, error scenarios, or the return value. The agent cannot fully predict the tool's behavior or know if it can call it correctly without additional information.
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 reference any parameters. The tool has 3 parameters (remote, projectId, expectedCommitSha), but the description never explains their meaning, relationships, or how they relate to the action (e.g., 'current commit' vs expectedCommitSha). The agent must rely solely on the schema, which provides only names and patterns, not semantic guidance.
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 clear, specific action: push the current commit without force to an allowlisted remote/branch. It distinguishes itself from sibling git tools (e.g., git_commit creates, git_push pushes) and adds constraints (without force, allowlisted). No tautology or ambiguity.
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 usage context is implied (when you have a reviewed commit and need to push it) but not explicitly stated. No exclusions, alternatives, or prerequisites beyond the 'must be enabled locally per project' note. There is no guidance on when not to use this tool or when another tool would be more appropriate, but the purpose is clear enough.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
git_statusShow Git statusBRead-only
Run a fixed, read-only Git status command in an authorized project.
| Name | Required | Description | Default |
|---|---|---|---|
| projectId | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is established. The description adds 'fixed' (implying no custom arguments) and 'authorized' (implying a prerequisite), which are useful contextual details beyond the annotation. However, it does not disclose what the status output contains (e.g., modified, staged, untracked files) or whether it includes branch information, so it adds only modest behavioral context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no wasted words. It is compact and readable. However, it could add a brief clause about what status returns without losing conciseness, so it is not a perfect 5.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a one-parameter read-only tool, the description is thin. It does not explain the projectId parameter, does not mention the need to have a project authorized (despite implying 'authorized'), and provides no information about the return value or output format. There is no output schema, so the description carries the full burden, which is left unmet.
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 has a single parameter, projectId, with no description and zero schema coverage. The description only says 'in an authorized project,' which hints that projectId should reference an authorized project, but it does not explain what the parameter format is, how to obtain a valid ID, or that it might be listed via list_projects. Since schema coverage is 0%, the description must compensate, and it fails to do so.
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 action ('Run') and the resource ('a fixed, read-only Git status command'), and the 'read-only' plus 'fixed' qualifiers distinguish it from mutation tools like git_commit and git_push, and from comparison tools like git_diff. It is unambiguous what this tool does.
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 provides no guidance on when to use this tool versus its siblings. It does not mention that git_status is the go-to for checking working tree state, nor does it warn against using it for diffs or staging. It only mentions 'in an authorized project,' which is a prerequisite, not a usage comparison.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
git_unstageUnstage selected Git pathsA
Remove explicit paths from the Git index without changing their working-tree contents.
| Name | Required | Description | Default |
|---|---|---|---|
| paths | Yes | ||
| projectId | Yes | ||
| expectedStatusSha256 | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=false and destructiveHint=false. The description adds the behavioral nuance that the working tree remains unchanged, which is valuable and not fully captured by the annotations. It does not contradict the annotations and clarifies the scope of the mutation.
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, tightly written sentence that front-loads the action and scope. Every word earns its place; there is no fluff or redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with three required parameters, no output schema, and zero parameter descriptions, the description does not provide enough detail for correct invocation. It omits parameter semantics, expected input formats, and the role of the concurrency guard. The core purpose is clear, but the operational details are missing.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must explain the three parameters (paths, projectId, expectedStatusSha256). It does not mention any of them, their format, or their purpose. The agent receives no guidance on what values to provide, especially for expectedStatusSha256, which is not self-evident.
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 verb 'Remove' and the resource 'Git index', specifies 'explicit paths', and adds a crucial qualifier that working-tree contents are untouched. This distinguishes it from siblings like git_status, git_diff, and git_commit, which deal with other aspects of staging.
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 'Remove explicit paths from the Git index' provides clear context that this is for unstaging operations. However, it does not explicitly mention when not to use it or point to alternative tools, though the context is sufficiently distinct given the sibling set.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_filesList project filesBRead-only
List files and directories beneath an authorized project path.
| Name | Required | Description | Default |
|---|---|---|---|
| maxDepth | No | ||
| projectId | Yes | ||
| maxEntries | No | ||
| pathPrefix | No | . |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile, so the description's burden is lighter. It adds the 'authorized project path' context, hinting at an access-control consideration, but reveals nothing about traversal behavior, error cases, or how max entries/depth limits surface.
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, readable sentence that front-loads the action and object with no filler. Every word earns its place; the 'authorized' qualifier is the only mildly extraneous addition.
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 4-parameter tool with 0% schema coverage and no output schema, this description is minimal. It leaves unaddressed how pathPrefix relates to 'authorized project path', what the depth/entry limits imply about returned data, and how results are structured. An agent gets enough to attempt a call but not to call it correctly on the first try.
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 names none of the 4 parameters (projectId, pathPrefix, maxDepth, maxEntries). It does not clarify what 'authorized project path' maps to in terms of pathPrefix or projectId, so the agent gets no help beyond the raw schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb ('List') and a clear resource ('files and directories beneath a project path'), which clearly differentiates it from siblings like read_file (reads content) and search_text (searches content). The qualifier 'authorized' is slightly vague but does not obscure the core purpose.
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 purpose implies when to use it (browse a project's file tree), and the sibling list makes the alternative obvious. However, there is no explicit when-to-use vs when-not-to-use guidance, no mention of the relationships to discover_projects or read_file, and no stated exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_projectsList authorized local projectsARead-only
List the local projects, write permissions, and task names authorized by the user.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds the scope of listing only what is authorized, which is useful context. However, it does not discuss output format, ordering, or potential errors, so it adds moderate value beyond annotations.
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 states the core action and scope without any fluff. Every word contributes to understanding the tool's purpose.
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?
As a simple read-only listing tool with no parameters and no output schema, the description adequately conveys its purpose and output components. However, it could mention whether results are filtered or sorted, and it does not describe error cases, which is a minor gap. The absence of a return schema is compensated by listing the types of information returned.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With no parameters, the schema is trivially fully covered. The description does not need to explain any parameters, and per baseline for 0 params, a score of 4 is appropriate. It does clarify that the tool returns write permissions and task names, which are not parameters but output content.
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 the specific verb 'List' and clearly identifies the resource 'local projects' plus additional elements 'write permissions, and task names'. The qualifier 'authorized by the user' differentiates it from the sibling discover_projects, making its purpose unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus its sibling discover_projects. The description lacks any conditional context or exclusions, leaving the agent to infer 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.
read_fileRead a project text fileBRead-only
Read a bounded line range from a text file and return its SHA-256 edit precondition.
| Name | Required | Description | Default |
|---|---|---|---|
| path | Yes | ||
| endLine | No | ||
| projectId | Yes | ||
| startLine | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already cover readOnlyHint=true and destructiveHint=false, which the agent knows. The description adds the behavioral detail that it returns a SHA-256 edit precondition, which is useful context but does not fully disclose behavior like error conditions, encoding assumptions, or effect on file state. Given the annotations, a score of 3 is appropriate.
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 two sentences, front-loads the core action, and wastes no words. Every phrase contributes to the meaning, making it highly concise and well-structured.
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 read-only tool with annotations covering safety and no output schema, the description is adequate but not complete. It does not explicitly mention that the returned hash is intended for later edit precondition checks, nor does it note that the tool reads only text files. An agent could call it correctly but might miss the intended workflow integration with sibling patch tools.
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 carries the full burden of explaining parameters. It mentions 'bounded line range' but does not explain startLine and endLine semantics, defaults, or how they interact. For a 4-parameter tool with zero schema coverage, the description falls short of even the baseline minimal value.
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 ('Read'), a resource ('a text file'), and a bounded line range, plus the return value (SHA-256 edit precondition). This is clear enough for an agent to know what the tool does, though it does not differentiate it from sibling read-like tools such as search_text or list_files.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no guidance on when to use this tool versus alternatives. It does not mention that it is likely a pre-edit step for apply_patch, nor does it specify any conditions or exclusions. An agent would have to infer the use case from the return value, which is not ideal.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
run_taskRun an allowlisted project taskA
Run one task whose executable and arguments were explicitly configured by the user.
| Name | Required | Description | Default |
|---|---|---|---|
| taskName | Yes | ||
| projectId | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate the operation is not read-only and not destructive, so the bar for behavioral disclosure is lower. The description adds the crucial context that the task is 'allowlisted' and user-configured, implying security sensitivity. However, it does not mention potential side effects, output format, or error behavior, 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.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single sentence that conveys the core function without verbosity. Every word adds value, and the critical 'allowlisted' qualifier is front-loaded. Perfectly concise for a tool of this simplicity.
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?
Despite the tool's low complexity, the description does not specify what the tool returns (e.g., output of the task), whether it blocks until completion, or how errors are surfaced. Since there is no output schema and annotations give minimal guidance, the agent is left guessing about the call behavior. A sentence on return format or side effects would meaningfully improve completeness.
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 explicitly define the two parameters. It only implies that taskName refers to the configured task and projectId to the project. An agent without prior knowledge would not know what values to supply for these parameters, making this a weak point.
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 'Run' with a clearly bounded resource: 'one task' that is 'allowlisted' and whose executable/arguments were pre-configured. This distinguishes it from all siblings (none of which execute tasks) and leaves no ambiguity about what the tool does.
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: run a pre-configured task, but provides no explicit guidance on when to prefer this over alternatives, nor any exclusions (e.g., 'do not use for ad-hoc commands'). Since no sibling does anything similar, the lack of named alternatives is acceptable, but the description could be clearer about when to invoke it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_textSearch project textARead-only
Search for a literal string across bounded text files in an authorized project.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| projectId | Yes | ||
| extensions | No | ||
| maxResults | No | ||
| pathPrefix | No | . | |
| caseSensitive | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already provide readOnlyHint=true and destructiveHint=false, so the description's burden is reduced. It adds 'bounded text files' and 'authorized project' scope, but does not disclose whether the search is substring or exact, the result format, or performance characteristics. These details remain unspecified.
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 that is front-loaded with the action ('Search') and scope ('literal string across bounded text files'). Every word adds value, with no redundancy or 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?
Despite having six parameters and no output schema, the description is extremely brief. It does not explain what 'bounded text files' means, the default behavior of parameters, or what the tool returns. While annotations cover safety, an agent would be uncertain about output structure and edge cases, making the description insufficiently 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 description coverage is 0%, and the description makes no mention of parameters. While parameter names like 'query', 'extensions', and 'caseSensitive' are self-explanatory, the description fails to compensate for the absence of schema descriptions, offering no additional meaning for any of the six parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states a specific action, 'Search for a literal string', on a bounded resource, 'bounded text files in an authorized project'. This distinguishes it from siblings like read_file and list_files, and no ambiguity exists about its core function.
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 its use case (finding a literal string) but provides no explicit guidance on when to choose it over alternatives or when not to use it. The phrase 'bounded text files' hints at scope but does not clarify which files qualify, leaving the usage context implied rather than stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
17 tool updates
v0.3.0- First observed
apply_patch - First observed
connect_project - First observed
create_text_file - First observed
delete_text_file - First observed
diagnostics - First observed
disconnect_project - First observed
discover_projects - First observed
git_commit - First observed
git_diff - First observed
git_push - First observed
git_status - First observed
git_unstage - First observed
list_files - First observed
list_projects - First observed
read_file - First observed
run_task - First observed
search_text
TDQS
Scored across 17 tools
Each tool targets a distinct operation—project discovery/auth, file read/write, git workflow, or task execution—so an agent can reliably select based on action. The only mild pairing is list_projects vs discover_projects, but their descriptions clearly separate authorized projects from available ones.
Most tools follow a predictable verb_noun pattern like list_files, read_file, apply_patch, and run_task. diagnostics is a noun-style outlier, and the git_* family uses command nouns (git_status, git_diff) rather than verbs, but the overall pattern remains recognizable.
At 17 tools, the server is slightly above the typical 3–15 range, but the count is justified by covering project discovery, authorization, file editing, git operations, and task execution. Each tool earns its place and none feel redundant.
The toolset covers project lifecycle, file CRUD/search, core git commit/push workflows, and configured task execution with no dead ends. Minor gaps like file rename/move or git branch/log operations are not essential to the secure workspace purpose but could be nice additions.
Maintenance
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Project management MCP for AI agents with safe task reads and writes.
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