ThinkSpace
Server Details
Send notes from Claude, ChatGPT or Claude Code to your ThinkSpace inbox and arrange them into cards.
- Status
- Healthy
- OAuth
- Works in Glama
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- Repository
- naoyax628X/thinkspace-mcp
- GitHub Stars
- 0
- Server Listing
- thinkspace-mcp
TDQS
Scored across 1 tool
There is only one tool, so there is no possibility of selection confusion. Its purpose — pushing a note into the ThinkSpace inbox — is clearly stated and bounded.
A single name gives no evidence of inconsistency, and 'send_to_inbox' is readable and descriptive. It is a prepositional phrase rather than a strict verb_noun form like 'create_note', which is a minor deviation.
The server is intentionally narrow (one-way delivery to an inbox), so a single tool is defensible and earns its place. Still, one tool sits at the thin end of the 3-15 well-scoped range and leaves little surface for an agent to work with.
Sending is fully covered, including batching guidance (one call per note) and strict verbatim content rules. However, there is no way to list, read, update, delete, or search existing inbox items, so the inbox lifecycle is one-directional and creates a dead end for any follow-up operation.
Available Tools
1 toolsend_to_inboxSend to ThinkSpace InboxAInspect
Send a note to the user's ThinkSpace inbox (the ThinkSpace app on their iPhone, iPad, or Mac). Use when the user asks to send something to their inbox/ThinkSpace (e.g. 「受信箱に送って」, "send this to ThinkSpace"). Set text to the VERBATIM full text of one chat message (usually one assistant response), unmodified — no summarizing, no rewriting, no trimming. Never invent content. title is a label draft of 20 characters or less; the user will rewrite it by hand, so treat it as a rough handle, not a finished title. For multiple notes, call this tool once per note.
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | Note body: the verbatim full text of one chat message, unmodified. | |
| title | No | Label draft, ideally ≤20 characters. | |
| source | No | Origin identifier. Defaults to mcp. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Beyond the annotations, the description discloses important behavioral constraints: text must be verbatim and unmodified, with no summarizing, rewriting, or trimming, and content must never be invented. It also explains that the title is a rough draft the user will rewrite, which is exactly the kind of context annotations cannot provide.
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 front-loaded with the action and use case, then moves into content-fidelity rules and finally batching behavior. Despite being longer than average, every sentence adds actionable constraint or context, and there is no filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple send-only tool with no output schema, the definition covers the action, trigger phrases, verbatim-content rule, title semantics, and multi-note behavior. Nothing an agent needs in order to call it correctly is 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 coverage is 100%, so the baseline is 3, but the description adds meaningful semantics for the two key parameters: text must be the verbatim full text of one chat message, and title is a rough label draft of 20 characters or less. The source parameter is not discussed in the description, though the schema documents it with a default.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb and resource: send a note to the user's ThinkSpace inbox, and identifies the target apps (iPhone, iPad, Mac). There are no sibling tools, but an agent can immediately tell what this tool does and where the content goes.
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 explicitly names when to use the tool, including example user phrasings in Japanese and English, and gives the batch rule: call once per note for multiple notes. No alternatives are needed because no sibling tools exist, but the usage trigger is unambiguous.
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.
1 tool update
- First observed
send_to_inbox
Publisher details
- Operator
- NextBuild LLC (Naoya Enokida)
- Operator website
- https://thinkspace-app.com/
- Vendor relationship
- First-party
- Documentation
- https://support.thinkspace.nextbuild.jp/en/ai-inbox/
- Trust center
- Not available
- Restrictions
- Requires a ThinkSpace account (free tier is enough). Users who sign in with Apple connect with a 6-digit code from the app. Write-only (cannot read the inbox or canvases). 60 notes per minute per user; bodies over 30,000 characters are truncated.
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