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get_csrc_merger_review

Query the CSRC merger and acquisition review status for a company using its name or stock code, returning review fields or an error.

Instructions

Query CSRC 并购重组 (M&A) review status for a company.

Returns: {company, source, fields} or {company, source, error}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
company_or_codeYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.4

TDQS

B3/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It discloses the return envelope ({company, source, fields} vs {company, source, error}), which conveys that failures are reported per-company rather than thrown, but it says nothing about auth, rate limits, data freshness, or whether a missing company yields an error object.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences, purpose first, return shape second, with no filler. Slightly compressed — the return clause could be dropped entirely given an output schema exists — but nothing is wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter lookup with an output schema present, the description need not re-explain return values, yet it still omits parameter format guidance and any scoping context (e.g., listed companies only, which markets). Adequate but with clear gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for the single required parameter, and the description only implies a company identifier via 'for a company'. It never clarifies what company_or_code accepts — a ticker/stock code, an exchange-prefixed code, or a Chinese company name — which is the main ambiguity an agent faces here.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Query) plus a specific resource (CSRC 并购重组 M&A review status for a company), which cleanly separates it from the sibling get_csrc_ipo_review. It does not explicitly name the sibling or contrast the two, so it stops short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no mention of alternatives such as get_csrc_ipo_review or list_csrc_filings. The agent must infer the domain from the tool name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.