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Glama

China Macro & Supply Signals

China LEI Entity Change Monitor

china-lei-entity-change-monitor
Read-only

Monitor official GLEIF LEI records for entity, registration and parent-relationship changes in mainland China and Hong Kong. — $0.02/call, x402 (USDC on base).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
leisNoOptional exact 20-character Legal Entity Identifiers.
namesNoOptional bounded entity-name searches. Searches are restricted to the selected countries.
countriesYesMainland China (CN) is the default. Add Hong Kong (HK) when required.
watchNameYesStable private baseline scope. Reuse this value on scheduled runs.china-lei-watch
maxResultsNoHard cap across all searches after deterministic LEI de-duplication.
nameMatchModeNoFuzzy uses GLEIF full-text matching. Exact additionally requires a normalized legal or alternate-name match.fuzzy
maxConcurrencyNoBounded concurrency for official GLEIF requests.
replayBaselineNoEmit a paid replay row for unchanged records. Keep disabled for change-only scheduled monitoring.
includeRelationshipsNoResolve direct and ultimate accounting parents when GLEIF publishes a relationship.

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is established. The description adds context about the external GLEIF data source and the cost per call ($0.02/call, x402), but it does not describe return format, pagination, rate limits, or other behavioral traits. It provides some value beyond annotations but not rich detail.

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

Conciseness5/5

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

The description is composed of two concise sentences: one for the purpose and one for pricing. It is front-loaded with the main action and contains no filler words, making it highly efficient.

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

Completeness2/5

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

Despite a detailed schema, the description lacks any mention of what the tool returns or how changes are reported. With no output schema, this is a significant gap: the agent does not know what to expect from the call. For a 9-parameter tool with scheduled monitoring semantics, more context about output shape and change-detection behavior is needed.

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 description coverage is 100%; all 9 parameters have detailed descriptions in the schema, so the schema carries the semantic burden. The tool description itself contributes no parameter information, 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.

Purpose5/5

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

The description clearly states 'Monitor official GLEIF LEI records for entity, registration and parent-relationship changes in mainland China and Hong Kong.' It specifies the verb (monitor), the resource (GLEIF LEI records), and the geographic scope, which distinguishes it from sibling tools focused on suppliers, FDI, or macro revisions.

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?

The description implies the use case by naming the data source (GLEIF) and region (CN/HK), but it provides no explicit when-to-use guidance or alternatives. There is no mention of when not to use this tool or how it compares to sibling tools, so usage is only implied.

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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TDQS

A4/5.0
Disambiguation5/5

Each monitor targets a distinct data domain: 1688 suppliers, OECD FDI, GLEIF LEI entities, and World Bank macro revisions. The pricing_info tool is clearly separate as a billing helper. No two tools overlap in purpose.

Naming Consistency4/5

The four data monitors follow a consistent 'china-<domain>-monitor' pattern, making the tool's purpose predictable. pricing_info deviates but serves a distinct meta-function, so the minor inconsistency is acceptable.

Tool Count5/5

With 5 tools, the bundle is well-scoped for a China macro and supply signals monitor server. Each tool covers a different aspect, and none are redundant or excessive.

Completeness4/5

The surface covers macro data, FDI flows, entity changes, and supplier supply-side metrics. Missing potentially useful monitors (e.g., trade or inflation) but core workflows are well covered with no dead ends.

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