claude-opencode-mcp
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., "@claude-opencode-mcpDelegate fixing the failing tests in src/ to the coder agent and show me the diff."
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.
claude-opencode-mcp
An MCP server that lets Claude Code delegate software-engineering tasks to OpenCode agents — DeepSeek by default — while keeping every agent inside the same workspace/worktree.
Claude Code (orchestrator)
│ MCP
▼
claude-opencode-mcp (this bridge)
│ workspace + task + agent
▼
OpenCode (agent runtime: tools, sessions, permissions)
│
▼
DeepSeek (or any provider configured in OpenCode)
│
▼
your repository — the same working tree Claude Code is usingClaude Code stays in charge: it decomposes the work, picks agents, reviews the results and integrates changes. OpenCode does the repository exploration, editing and test execution. The bridge is deliberately thin.
Features
Seven focused MCP tools —
delegate_task,create_session,send_message,get_session,get_diff,abort_session,list_agents.Same worktree — the delegated OpenCode server runs with your project as its working directory; the agent reads and edits the real files.
Persistent sessions — follow-up messages keep the agent's context across separate MCP calls.
Four agent profiles — researcher, reviewer, coder, tester, each with permissions enforced by OpenCode (not by prompt wording).
Workspace boundaries — canonical paths, allowed roots, path-traversal rejection, and a per-run probe that proves the server is serving the right directory.
Safety defaults —
.env/credential protection,git commit/git pushdenied, external directories denied, noaskrules that could hang a headless run.Structured results — every tool returns JSON with stable error codes, and
get_diffgives Claude Code the exact changes a coding session made.Reliability — timeouts, cancellation, health checks, crash detection, graceful shutdown, request IDs and a rotating log file.
Related MCP server: devin-mcp
Requirements
Component | Version |
Node.js | 20 or newer |
recent 2.x | |
1.18+ (tested against 1.18.32) | |
Model provider | DeepSeek by default; any provider OpenCode supports |
Install
npm install -g claude-opencode-mcpor run it on demand with npx -y claude-opencode-mcp (recommended for
.mcp.json).
The bridge can also use an OpenCode installation from PATH, from
node_modules/.bin, from ~/.opencode/bin, or from an explicit
OPENCODE_BIN.
From source
git clone https://github.com/putuandy/claude-opencode-mcp.git
cd claude-opencode-mcp
npm install
npm run build
npm install -g .Claude Code setup
Option A — project .mcp.json (recommended)
Create .mcp.json in your project root:
{
"mcpServers": {
"opencode": {
"command": "npx",
"args": ["-y", "claude-opencode-mcp"],
"type": "stdio",
"timeout": 600000
}
}
}timeout is milliseconds and is a per-tool-call wall-clock limit. Delegated
runs are long; without it Claude Code falls back to MCP_TOOL_TIMEOUT.
Claude Code also moves main-conversation tool calls to a background task after
two minutes, which is fine — the result arrives when the run finishes.
Option B — claude mcp add
claude mcp add opencode --scope project -- npx -y claude-opencode-mcpOr for one machine only:
claude mcp add opencode --scope user -- npx -y claude-opencode-mcpVerify:
claude mcp list # opencode ... ✔ ConnectedInside Claude Code, /mcp shows the server and its seven tools.
The bridge reads
CLAUDE_PROJECT_DIR, which Claude Code sets for stdio MCP servers, so delegation defaults to the project you launched Claude Code in.
OpenCode + DeepSeek setup
The bridge starts and stops its own headless OpenCode server, so you do not need
to run opencode serve yourself. You only need OpenCode installed and a
provider authenticated.
Install OpenCode
npm install -g opencode-ai # or: brew install sst/tap/opencode opencode --versionAuthenticate DeepSeek (once)
opencode auth login # choose DeepSeek, paste your API keyAlternatively export
DEEPSEEK_API_KEYbefore starting Claude Code; OpenCode reads it for thedeepseekprovider.Check the models
opencode models | grep deepseek # deepseek/deepseek-flash # deepseek/deepseek-v4-pro(Optional) validate the project
cd my-project claude-opencode initinitonly creates.claude-opencode/and validates the environment; it never modifies source code and is not required for delegation.
If you prefer to control OpenCode yourself, start opencode serve and point
the bridge at it with opencode.url; see
docs/configuration.md.
Quick start
Restart Claude Code, then ask:
Use the
opencodeMCP server to havedeepseek-researchermap this repository: entry points, main modules, and where authentication lives.
Then something that edits:
Have
deepseek-coderadd input validation tosrc/api/users.ts, run the tests, and report what changed. Then show me the diff withget_diff.
And a full workflow:
Ask DeepSeek to inspect the authentication system, identify potential issues, implement a fix, and review the changes.
Claude Code typically orchestrates: deepseek-researcher → deepseek-coder
→ deepseek-reviewer → deepseek-tester, calling get_diff between steps.
Tools
All tools return JSON in content[0].text (mirrored in structuredContent).
Errors return isError: true with { "error": { "code", "message", ... } }.
delegate_task
Run one task in a fresh session and wait for the agent's answer.
{
"task": "Review the authentication implementation for bugs and security issues.",
"agent": "deepseek-reviewer",
"cwd": "/Users/andy/projects/my-app",
"paths": ["src/auth", "src/middleware", "tests/auth"],
"model": "deepseek/deepseek-v4-pro",
"timeout": 600000,
"allow_edits": false
}Returns { status, session_id, agent, cwd, model, summary, findings, files_changed, duration_ms, truncated, error? }.
pathsare exploration hints, not a boundary — the agent may inspect the whole workspace.allow_edits: falsedisables theedit/write/apply_patchtools for that call (the agent's own profile still applies; see Security).findingsare parsed from a## Findingssection:- [severity: high] Title (path/to/file:42) — detail.
create_session
{ "cwd": "/abs/path", "agent": "deepseek-researcher", "model": null, "title": "auth investigation" }Returns { session_id, cwd, agent, model, title, status, created_at }.
send_message
Continue a session; the agent keeps its context.
{ "session_id": "ses_...", "message": "Now inspect the database layer for the same issue." }get_session
Returns the stored session state plus live OpenCode status
(opencode.status is idle, busy or retry when a server is running).
get_diff
Returns the changes associated with a session:
OpenCode's own session diff when the server reports one, otherwise
a git diff against a baseline captured when the session was created, so pre-existing uncommitted work is not attributed to the agent.
Returns { source, files, diff, truncated, note? }.
abort_session
Stops a running delegation. Safe to call when the session is idle.
list_agents
Lists the built-in agents plus project-local agents from
.claude-opencode/agents/, with read_only, can_edit, can_run_bash flags.
Agents
Agent | Purpose | Edit | Shell |
| architecture, exploration, dependency analysis, recommendations | deny | deny |
| code review, bugs, regressions, security, architecture | deny | deny |
| implementation, refactoring, running tests and fixing failures | allow | allow (no |
| run tests, inspect failures, root causes, suggested fixes | deny | allow (no |
Agent prompts live in agents/ and are loaded into the OpenCode
server configuration at startup. Project-local copies in
.claude-opencode/agents/*.md override the prompt, description, model and
temperature; permissions always come from the bridge policy (configurable
through security.*).
See docs/agent-configuration.md for frontmatter details and custom agents.
Workspace model
Resolution order for every call:
explicit
cwdargumentCLAUDE_PROJECT_DIR(set by Claude Code)the MCP server process working directory
workspace.defaultCwdfrom configuration
The first two are required: if they are present but invalid, the call fails instead of silently using a different directory.
Validation happens before any session is created:
the path must exist, be a directory, and be readable;
it is canonicalized with
realpath;when
workspace.allowedRootsis set, the canonical path must live inside one of those roots (traversal is rejected);the git root is detected for diff isolation.
During the first request for a workspace the bridge reads back directory from
the OpenCode server and compares it with the requested path, so a misrouted
request can never reach the wrong repository.
One OpenCode server is started per workspace directory and reused for all sessions in that workspace; the server process itself runs with the workspace as its working directory.
Security
Control | Default | Where |
Workspace must exist, be readable, be a directory | always | bridge |
| disabled (empty) | config |
Path hints cannot escape the workspace | always | bridge |
| on | OpenCode permissions |
| denied | OpenCode permissions |
Paths outside the workspace | denied | OpenCode |
Subagent spawning ( | denied | OpenCode permissions |
Interactive questions ( | denied (headless) | OpenCode permissions |
| never emitted by the bridge | OpenCode permissions |
The bridge also listens to OpenCode's event stream and auto-rejects any permission request that would otherwise wait for a human, so a delegated run can never hang on approval.
Caveats, stated plainly:
A shell-enabled agent (
coder,tester) can technically write files through shell commands. The bridge denies theedittools for the tester and forbids git history changes for both, but shell access is inherently powerful..envprotection applies to the file tools. A shell-enabled agent could stillcata file throughbash; the OpenCode project permission model has the same property.When connecting to an external OpenCode server (
opencode.url), the bridge cannot inject agent permissions. It verifies the agents exist and refuses to run otherwise.
Details and hardening options: docs/security.md.
Configuration
Global file: ~/.config/claude-opencode-mcp/config.json (honours
XDG_CONFIG_HOME).
Project file: <project>/.claude-opencode/config.json (overrides global).
Extra file: CLAUDE_OPENCODE_CONFIG=/path/to/config.json (highest precedence).
{
"opencode": {
"url": null,
"autoStart": true,
"hostname": "127.0.0.1",
"port": 0,
"startupTimeout": 30000,
"binary": null,
"username": null,
"password": null,
"maxServers": 4
},
"workspace": {
"allowedRoots": [],
"defaultCwd": null
},
"defaults": {
"agent": "deepseek-researcher",
"provider": "deepseek",
"model": null
},
"timeouts": {
"execution": 600000
},
"security": {
"protectEnvFiles": true,
"denyGitPush": true,
"denyGitCommit": true,
"externalDirectory": "deny",
"extraProtectedPatterns": []
},
"limits": {
"summaryChars": 6000,
"sessionChars": 20000,
"diffChars": 60000
},
"agents": {
"deepseek-researcher": { "model": "deepseek/deepseek-v4-pro" }
}
}defaults.modelacceptsprovider/modelor a bare model id (combined withdefaults.provider). Whennull, the provider's default model from OpenCode is used.Provider credentials stay in OpenCode (
opencode auth login) or environment variables; they are never duplicated in this config.For auto-started servers the bridge passes
OPENCODE_SERVER_USERNAME/OPENCODE_SERVER_PASSWORDthrough and authenticates its own requests. For external URLs it only uses credentials you configure.
Full reference: docs/configuration.md.
Sessions
Sessions are OpenCode sessions; the bridge keeps a small registry at
~/.local/state/claude-opencode-mcp/sessions.json(override withCLAUDE_OPENCODE_STATE_DIR) soget_session,get_diffandsend_messagesurvive a bridge restart.Records older than 14 days are pruned at startup.
If an OpenCode server restarts, persisted sessions are still addressable;
get_sessionreports live status when a server is running.Logs:
~/.local/state/claude-opencode-mcp/bridge.log(rotated at 5 MB). SetCLAUDE_OPENCODE_LOG=debug|info|warn|error|silent.
Troubleshooting
Symptom | Fix |
|
|
| run |
| authenticate a provider ( |
| DeepSeek credentials are missing/expired; re-run |
| add the four agents to that server's config or stop using |
| raise |
| add the project to |
Tool call seems to hang in Claude Code | Claude Code backgrounds long calls after 2 minutes; progress notifications are sent, and the bridge always resolves or aborts — check |
Claude Code kills the call at 60s | set |
More: docs/troubleshooting.md.
Development
npm install
npm run lint # Biome
npm run typecheck
npm test # unit + integration (no OpenCode needed)
npm run buildReal end-to-end tests need an OpenCode install with DeepSeek authenticated:
npm run test:e2e # checkpoints: workspace, agents, sessions, diff, abort, stdio
CLAUDE_OPENCODE_E2E_WORKFLOW=1 npm run test:e2e # full researcher → coder → reviewer → tester workflowLayout:
src/
index.ts CLI entry (MCP server + `init`)
cli/ `claude-opencode init`
config/ configuration loading and merging
workspace/ resolver, validator, task context
security/ path policy + OpenCode permission profiles
opencode/ binary resolution, manager, client, agents, sessions, runner
mcp/ MCP server and the seven tools
agents/ built-in agent prompts
tests/ unit, integration, e2e
docs/ documentationSee docs/development.md and docs/architecture.md.
Documentation
Contributing
Bug reports, feature requests, and pull requests are welcome. Start with CONTRIBUTING.md; for vulnerabilities use SECURITY.md instead of a public issue.
License
MIT — see LICENSE.
Available Tools
7 toolsabort_sessionAbort a running delegated sessionADestructive
Stop a long-running or unwanted delegated task. Safe to call when the session is already idle.
| Name | Required | Description | Default |
|---|---|---|---|
| session_id | Yes | Session id returned by delegate_task/create_session. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare destructiveHint=true, so the destructive nature is covered structurally. The description adds a useful nuance—that calling it on an idle session is safe—which goes beyond the annotation. However, it does not disclose whether aborting is irreversible, whether a running computation is killed, or what happens to partial results.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short sentences, no filler, and the core action is stated first. The safety note is useful and 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 one-parameter destructive action with no output schema, the description is nearly complete: it states purpose and a safe-call condition. It could be slightly richer by explaining the post-abort state of the session, but an agent can invoke this tool correctly with what is provided.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, and the single parameter session_id is already fully documented as the session id returned by create_session. The tool description adds no further parameter guidance, so the baseline score of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Stop') with a clear resource ('a long-running or unwanted delegated task'), and the title names the action and object. It is immediately distinguishable from siblings like create_session and get_session.
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 clear signals about when to use it: for long-running or unwanted delegated tasks. It also provides a useful safety condition ('Safe to call when the session is already idle'). It does not explicitly name alternatives or describe when not to use it, but the context is sufficient for most selection decisions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
create_sessionCreate a persistent OpenCode agent sessionA
Create a persistent delegation session in a workspace without running a task yet. Follow up with send_message to keep the agent's context between calls.
| Name | Required | Description | Default |
|---|---|---|---|
| cwd | Yes | Workspace directory for the session. | |
| agent | No | Agent to use (default: deepseek-researcher). See list_agents. | |
| model | No | Override the model, e.g. "deepseek/deepseek-v4-pro". | |
| title | No | Human-readable session title. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Beyond the minimal openWorldHint annotation, the description discloses meaningful behavior: the session is persistent, no task runs on creation, and the agent's context is retained between calls when used with send_message. This adds real behavioral context beyond what the structured annotation provides.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences with zero filler. The core purpose and scope are front-loaded in the first sentence, and the second sentence earns its place by explaining the interaction protocol with send_message.
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 create operation with a fully documented schema, the description is mostly sufficient. However, with no output schema and an openWorldHint, it would help to state what the call returns (e.g., a session identifier to use with send_message) and any workspace requirements, so an agent is left with a small gap about the response.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the input schema already documents all four parameters. The description adds no parameter-level meaning, so the baseline of 3 applies; nothing is missing, but nothing extra is contributed either.
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 (create), a specific resource (persistent delegation session in a workspace), and a critical constraint ('without running a task yet'). This last phrase directly distinguishes it from the sibling delegate_task, so an agent can tell the tools apart without opening schemas.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives a clear workflow context: create the session first, then follow up with send_message to keep the agent's context across calls. It does not explicitly name delegate_task as the alternative for one-shot task execution or state when not to use this tool, so it stops short of 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.
delegate_taskDelegate task to OpenCode agentA
Delegate a software-engineering task to an OpenCode agent (DeepSeek by default) that runs in the same workspace. The agent explores the repository itself and returns a concise summary plus structured findings. Read-only agents (deepseek-researcher, deepseek-reviewer) cannot modify files; deepseek-coder can edit and run tests. Set allow_edits=false to force edit tools off for this call. Returns { status, session_id, summary, findings, files_changed }.
| Name | Required | Description | Default |
|---|---|---|---|
| cwd | No | Workspace directory. Defaults to CLAUDE_PROJECT_DIR / the server working directory. | |
| task | Yes | The task to delegate, written as a clear instruction. | |
| agent | No | Agent to use (default: deepseek-researcher). See list_agents. | |
| model | No | Override the model, e.g. "deepseek/deepseek-v4-pro". | |
| paths | No | Starting path hints relative to the workspace. Hints only, not a restriction. | |
| timeout | No | Execution timeout in milliseconds (default from bridge config). | |
| allow_edits | No | When false, edit/write tools are disabled for this call. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations only include openWorldHint, so the description carries the burden. It discloses that read-only agents cannot modify files, coder agents can edit and run tests, and that allow_edits=false disables edit tools. It also states the return object shape. This adds meaningful behavioral context beyond the minimal annotation, though it doesn't mention potential side effects like long execution times or concurrency limits.
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 few dense sentences, front-loaded with the core purpose, then agent capabilities, then return format. There is no fluff; each sentence adds useful information. It could be slightly more structured with separators, but it is 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?
With 7 parameters and no output schema, the description compensates well by listing the return fields (status, session_id, summary, findings, files_changed) and explaining agent behavior. It does not cover error handling or timeout specifics, but the essential information for calling the tool correctly is present. Minor gaps remain but are not critical.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so the baseline is 3. The description adds value by clarifying agent capabilities (deepseek-researcher/reviewer vs coder) and the effect of allow_edits, which goes beyond the schema's generic descriptions. It also reiterates the 'hints only' nature of paths, reinforcing schema content. This exceeds the baseline.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb ('Delegate'), a specific resource (OpenCode agent in the same workspace), and the outcome (returns a summary plus structured findings). It clearly distinguishes this from the sibling session-management tools like create_session or send_message by framing it as a task delegation that includes agent exploration and structured findings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explains when to use different agents (read-only vs coder) and how to force edit tools off via allow_edits=false, which is useful. However, it does not explicitly contrast this tool with siblings such as create_session or send_message, so an agent might not know when to choose delegation over direct session operations. Usage context is implied but not fully explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_diffInspect changes made in a sessionARead-only
Return the file changes associated with a delegated session: OpenCode's own session diff when available, otherwise a git diff against the baseline captured when the session was created.
| Name | Required | Description | Default |
|---|---|---|---|
| session_id | Yes | Session id returned by delegate_task/create_session. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already provide readOnlyHint=true, and the description adds meaningful behavioral context by explaining the fallback from OpenCode's session diff to a git diff against the baseline. This goes beyond the annotation's safety signal, though it doesn't mention what happens when no diff exists.
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 states the primary action first and then details the fallback. No filler or redundant information.
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 with no output schema, the description adequately explains what is returned and how the diff is sourced. Minor omissions, such as behavior when no diff is available, are acceptable given the tool's simplicity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, and the schema already explains session_id as 'Session id returned by delegate_task/create_session.' The description does not add any further parameter semantics, so the baseline score of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Return'), names the resource ('file changes associated with a delegated session'), and specifies the diff-source fallback logic. This clearly distinguishes it from siblings like get_session, which deals with session metadata rather than file changes.
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 clearly implies when to use the tool: to inspect file changes for a delegated session. The sibling list makes alternative purposes evident, but the description does not explicitly state exclusions or alternative tool names, so it falls short of a 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_sessionGet delegated session stateARead-only
Return the stored state of a delegated session plus its live OpenCode status when a server is running. Use get_diff to inspect file changes.
| Name | Required | Description | Default |
|---|---|---|---|
| session_id | Yes | Session id returned by delegate_task/create_session. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The readOnlyHint annotation already covers the safety profile, and the description adds useful behavioral nuance: the stored session state is always returned, while live OpenCode status is only included when a server is running. This conditional behavior is valuable context beyond the annotation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short sentences with no filler. The main purpose is front-loaded, and the sibling reference to get_diff earns its place by clarifying tool boundaries.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple read-only tool with one well-documented parameter, the description provides sufficient invocation context. It could name the fields contained in 'stored state' or describe the no-server behavior more explicitly, but those are minor gaps given the schema and readOnlyHint.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% and the session_id parameter is already well-described as the ID returned by delegate_task/create_session. The description itself adds no further parameter meaning, so the baseline of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Return') and names the exact resource: the stored state of a delegated session plus live OpenCode status. It also distinguishes itself from get_diff by telling the agent to use get_diff for file changes, which prevents confusion among 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?
It gives clear context for what get_session returns and points to get_diff as the alternative when inspecting file changes. It does not explicitly enumerate when not to use get_session, but the comparison to get_diff provides enough routing guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_agentsList available delegated agentsARead-only
List the agents that delegate_task and create_session can use, including project-local agents from .claude-opencode/agents.
| Name | Required | Description | Default |
|---|---|---|---|
| cwd | No | Workspace used to discover project-local agents (optional). |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The readOnlyHint annotation already covers the key safety behavior Photon, so the description does not need to restate that. It adds useful context by mentioning project-local agent discovery from .claude-opencode/agents and the role of cwd. It does not describe output format or failure behavior, but no contradiction exists and the annotation lowers the burden.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that leads with the core action and resource, then adds the most important scoping detail about project-local agents. Every part earns its place; there is no filler 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?
This is a simple, read-only listing tool with no required parameters and no complex schema. The description plus the cwd parameter documentation is sufficient for an agent to know what the tool does and when to call it. The absence of an output schema is acceptable given the straightforward 'list' semantics.
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 only parameter, cwd, is already fully described in the schema with 'Workspace used to discover project-local agents (optional).' The description adds a small amount of context by linking cwd to the .claude-opencode/agents discovery mechanism, but schema coverage is 100%, so the baseline applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a specific verb ('List') and resource ('agents that delegate_task and create_session can use'), making the tool's purpose immediately clear. It also distinguishes this listing tool from the action-oriented siblings like delegate_task and create_session. The inclusion of project-local agents adds useful 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 implies when this tool is useful: before delegating or creating a session, to discover available agent names. It names the consumer tools explicitly and clarifies the optional cwd behavior for project-local discovery, but it does not state formal exclusions or contrast directly with sibling listing tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
send_messageSend a follow-up message to a sessionA
Continue an existing delegated session with another message. The agent keeps its previous context, so follow-ups can build on earlier exploration and edits.
| Name | Required | Description | Default |
|---|---|---|---|
| message | Yes | Follow-up instruction or question. | |
| session_id | Yes | Session id returned by delegate_task/create_session. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The openWorldHint annotation already signals that the tool may interact with external systems. The description adds useful context by stating that the agent retains previous context and can build on earlier exploration and edits, but it does not describe side effects on the session, response format, or failure behavior. This is adequate 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.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences with no filler. The first sentence states the core purpose, and the second sentence adds valuable context about state retention. Every word contributes to an agent's ability to decide whether and how to use the tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple two-parameter tool with openWorldHint and no output schema, the description provides sufficient context: it explains the stateful nature, when to use it, and what the message is for. It does not explain return values or error handling, but these are less critical given the tool's simplicity and the explicit session_id and message schema.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so both session_id and message are already documented. The description's mention of 'follow-up' reinforces that message is an instruction building on prior context, but it adds no new meaning beyond the schema. Baseline 3 is appropriate because the schema carries the parameter documentation burden.
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 ('Continue an existing delegated session with another message') that clearly distinguishes it from sibling tools like create_session, delegate_task, get_session, and abort_session. The emphasis on 'existing' and 'follow-up' makes it unambiguous that this is not for initiating or inspecting sessions.
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 clearly indicates when to use this tool: when a delegated session already exists and the agent wants to continue it. It does not explicitly name alternatives or state when not to use it, but the context provided (existing session, previous context) is enough to infer that this is the follow-up tool rather than a session creation or retrieval tool.
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.
7 tool updates
v1.0.0- First observed
abort_session - First observed
create_session - First observed
delegate_task - First observed
get_diff - First observed
get_session - First observed
list_agents - First observed
send_message
TDQS
Scored across 7 tools
Each tool targets a distinct stage in a delegation session lifecycle: creating/delegating, sending follow-ups, inspecting state/diff, aborting, and listing available agents. create_session and delegate_task could be confused since both initiate sessions, but their descriptions clearly separate 'no task yet' from 'run a task'.
All tools follow a consistent verb_noun snake_case pattern: create_session, delegate_task, send_message, get_session, get_diff, abort_session, list_agents. The verbs are predictable and directly match the action performed.
Seven tools is well-scoped for a delegation/session management server; each tool represents a meaningful lifecycle operation without overlap and none feel redundant.
The surface covers the core lifecycle: create/delegate, continue, inspect, diff, abort, and enumerate agents. Obvious minor gaps are session enumeration/list_sessions and explicit session deletion/cleanup, but an agent can operate from returned session IDs.
Maintenance
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