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WalnutLink A-share Depth Desk

Server Details

China A-share filings: why a number moved, does the trend continue, who supplies whom.

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Status
Healthy
Uptime
100.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2025-06-18
URL
Repository
WalnutLink/walnutlink-mcp
GitHub Stars
0
Server Listing
WalnutLink A-share Depth Desk
ChatGPT
–
Claude
–

TDQS

A4.5/5.0

Scored across 3 tools

Disambiguation5/5

Each tool targets a distinct operation: deep research submits/answers analytical questions, chain edge answers relationship questions, and answer_by_id retrieves queued or finished research. The descriptions explicitly separate the HOW relationships use case from the WHY/WHAT research use case, and answer_by_id is clearly tied to an id from deep research. No meaningful overlap remains.

Naming Consistency4/5

All three tools share the a_share_ prefix and snake_case, making them predictable. The suffixes are not a uniform verb_noun pattern (answer_by_id, chain_edge, deep_research), but the convention is still consistent and readable across the set.

Tool Count4/5

Three tools is on the low end but reasonable for a focused research desk: one research entry point, one relationship lookup, and one result retrieval. Each tool earns its place, though the small surface may feel minimal for broader A-share exploration.

Completeness4/5

The core research lifecycle is covered: ask a question, receive an id, and retrieve the human-reviewed answer. Relationship queries are also covered with sourcing and confidence tags. Minor gaps include no obvious way to list prior research or browse available companies, but core workflows are workable.

Available Tools

3 tools
a_share_answer_by_idAInspect

Retrieve a research result by the id that a_share_deep_research returned. Call this to check whether the human-reviewed answer is ready, or to fetch the full text once it is. Answers take minutes to hours because a filed report is read first; while it is still queued the tool returns the queue position, not a guess. Use this instead of opening the public page when you are an automated client that cannot render HTML.

Inputs: id (required).

a_share_chain_edgeAInspect

Use when the user asks HOW two Chinese companies relate: who supplies whom, who competes with whom, who owns equity in whom, or whether an acquisition target overlaps with the acquirer's product line. Every relationship returned carries a verbatim quote from a filed document (annual report, prospectus, restructuring draft, related-party announcement) and a confidence tag: primary = the filing says it outright, secondary = broker or media, inferred = our deduction with no direct textual proof. Unlisted companies work as inputs too, which matters for acquisition targets. If the pair has not been researched it says so plainly instead of guessing - absence of a record is not evidence of no relationship. Do NOT call this for prices, valuation or index levels.

Inputs: a (required), b (required), relation.

a_share_deep_researchAInspect

Use when the user asks WHY something happened or WHAT it means for a Chinese listed company: a margin moved, a policy landed, an industry chain shifted, two companies diverge, or what management actually said on the record. This desk does NOT serve quotes, price checks or valuation snapshots - that is commodity data available everywhere, and answering it would waste your turn. What it does: reads the filed report, the IR transcript and the disclosure wording, then answers in numbers. Returns a vetted answer immediately if this question has been researched before; otherwise it returns the primary-source evidence it already holds plus an id for the human answer. Ask it the question you would ask a sell-side analyst, not the one you would type into a quote app.

Inputs: question (required).

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