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cn_data_v3_bid_count

查询企业招投标数量概览。 No independent entity identity, freshness, completeness, ownership, compliance or safety certification. A summary/header is not the underlying record list; null values mean unknown. Use company_id from cn_data_v3_company_detail. 0.011000 USDC per single call. Pass arguments matching get_cn_data_tool_schema("v3_bid_count"). One selected Chinese company data tool call. Additional pages require separate requests. No completeness or safety guarantee.

Input Schema

NameRequiredDescriptionDefault
argumentsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does meaningful work: it discloses a per-call price (0.011 USDC), that one call = one company query, that additional pages require separate requests, and that nulls mean unknown. It also warns that a summary/header is not the underlying record list and that no completeness/safety certification exists. The disclaimer boilerplate is repeated but the operational facts are present.

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

Conciseness3/5

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

Purpose is front-loaded, but the body mixes Chinese and English and stacks overlapping disclaimer clauses ('No independent entity identity, freshness, completeness, ownership, compliance or safety certification' vs 'No completeness or safety guarantee'). Several sentences earn their place (cost, pagination); the duplication does not.

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

Completeness4/5

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

With no output schema, no annotations, and an opaque free-form argument object, the description supplies most of what an agent needs: cost, page-vs-request semantics, null handling, summary-vs-records scope, and ID provenance. The remaining gap is the actual argument names, which it delegates to a companion schema tool rather than leaving undiscoverable.

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

Parameters3/5

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

Schema coverage is 0% and the single 'arguments' bag has additionalProperties: true, so the schema tells an agent nothing. The description partially compensates by requiring company_id and by directing the caller to get_cn_data_tool_schema("v3_bid_count") for the real argument shape, but it never enumerates or formats any parameter itself.

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?

The opening line gives a specific verb+resource: query a company's bidding/bid count overview (查询企业招投标数量概览). It is distinguishable from list-oriented siblings because it explicitly returns a summary/header rather than records. It stops short of naming the closest alternative (cn_data_v3_bid_header) to disambiguate when you want totals vs individual bids.

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

Usage Guidelines3/5

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

It gives one concrete prerequisite: source the company_id from cn_data_v3_company_detail. That is useful input routing, but there is no explicit when-to-use/when-not-to-use guidance relative to the many bid-related siblings (bid_header, company_detail). Usage is inferable from the 'count overview' framing rather than stated.

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

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