Zhiji Daily Report — Market Brief
Server Details
Daily A-share market brief with LG phase signals. No auth required.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 3.3/5 across 5 of 5 tools scored.
Some overlap exists: daily-brief and signal-latest both aggregate multiple signals, and arena-signal and phase-signal both provide phase signals for different markets. Descriptions help distinguish but ambiguity remains.
Names use hyphens but vary in structure: some are compound nouns (e.g., arena-signal, phase-signal), others are more descriptive (daily-brief, signal-latest). No strong consistent pattern.
With 5 tools, the count is reasonable for a market brief server. However, the presence of two aggregate endpoints suggests slight redundancy, but not overly heavy.
The set covers global market signals, A-share analysis, and aggregated briefs. Missing historical data or detailed comparisons, but core daily briefing needs are met.
Available Tools
5 toolsarena-signalBInspect
Global market phase signal from Signal Arena (CN/HK/US markets).
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description bears full responsibility. It only states it's a signal but gives no details on what it returns (e.g., data type, update frequency, or how it differs from similar signals).
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?
Single sentence, no redundancy, directly conveys the purpose. Highly concise.
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?
Adequate for a parameter-free tool but missing details on output format or characteristics of the signal. Could be more informative.
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?
There are no parameters, so baseline is 4. The description adds value by specifying the source (Signal Arena) and markets (CN/HK/US), giving context beyond the empty schema.
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 clearly states it provides a global market phase signal from Signal Arena covering CN/HK/US markets. However, it does not differentiate from sibling tools like 'phase-signal' which also deals with phases.
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?
No guidance on when to use this tool versus alternatives like 'signal-latest' or 'phase-signal'. No context or exclusions provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
daily-briefBInspect
Aggregated daily brief combining phase_signal + ji_sensing + indices.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided; description does not disclose behavioral traits such as refresh rate, caching, output format, or any side effects.
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?
Single sentence with all essential information; no filler or redundancy.
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?
Given low complexity and absence of annotations/output schema, the description is too sparse. It does not specify output shape, usage conditions, or how it integrates with sibling tools.
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?
Tool has zero parameters, so baseline is 4. Description adds context about combining sources, which goes beyond the empty schema.
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?
Description clearly states verb ('combining') and resource ('daily brief'), and explicitly names the three sources, distinguishing it from sibling tools that cover individual signals.
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?
No guidance on when to use this aggregated brief versus the individual signal tools. Lacks any context or alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ji-sensingBInspect
System of Thought Integration (SoTI) measurement — frozen/comfort/creative_edge zone detection.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must fully disclose behavioral traits. It only states that the tool measures and detects zones, but does not indicate whether it is read-only, requires authentication, has side effects, or any other behavioral characteristics. This is insufficient for safe and correct invocation.
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 a single sentence without fluff. It is front-loaded with the core purpose. However, it could be slightly more informative without adding length, such as mentioning the output format.
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?
Given no parameters and no output schema, the description should explain what the tool returns and how to interpret the zones. It only mentions detection but not the output structure or format. This leaves the agent uninformed about what to expect after invocation.
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?
The input schema has zero parameters and schema description coverage is trivially 100%. With no parameters, the description does not need to add parameter meaning. Baseline for 0 parameters is 4.
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 clearly states that the tool measures System of Thought Integration and detects frozen/comfort/creative_edge zones. This gives a specific verb (measure, detect) and resource (SoTI zones), and is distinct from sibling tools like arena-signal or phase-signal. However, it lacks explanation of what SoTI is or what the zones mean, slightly reducing clarity.
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?
The description provides no guidance on when to use this tool versus alternatives. It does not mention any prerequisites, context, or scenarios where ji-sensing is appropriate. This leaves the agent to guess the appropriate usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
phase-signalBInspect
A-share HS300 phase transition signal (Phi, D, chi, delta_F, SoTI, state). Real-time Landau-Ginzburg framework analysis.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description must disclose behavioral traits. It mentions 'real-time' but does not specify whether the tool is read-only, requires authentication, has limits, or any side effects. The behavioral information is insufficient.
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?
Single sentence, front-loaded with key terms. It is concise but could be slightly more structured (e.g., separating the list of signals). Meets conciseness standard.
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?
With no output schema, the description must explain return values. It lists indicator names but does not describe their types, ranges, or formats. This leaves the agent uncertain about what to expect.
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?
No parameters, so schema coverage is trivially 100%. The description does not need to add parameter details. Baseline 4 is appropriate.
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?
Description states it provides a 'phase transition signal' for A-share HS300, listing specific indicators and mentioning the analysis framework. The verb is implicit but the resource is clear. It does not explicitly distinguish from siblings like 'arena-signal', but the specific indicators give some differentiation.
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?
No guidance on when to use this tool over alternatives or any context about prerequisites. The description only states what it does, not when it should be invoked.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
signal-latestAInspect
Complete signal payload including phase_signal + ji_sensing + indices. Single-call convenience endpoint.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must convey behavioral traits; it states the output is a combined payload but lacks details on read-only nature or error handling.
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?
Two sentences efficiently convey the tool's purpose and value with no redundant information.
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?
The description covers the key output components but omits details of the payload structure; however, given no output schema, this is adequate for a simple aggregation endpoint.
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?
The input schema is empty with no parameters, so the description need not add parameter semantics beyond the schema, meeting the baseline for zero-parameter tools.
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 clearly states the tool returns a complete signal payload combining phase_signal, ji_sensing, and indices, distinguishing it from sibling tools like phase-signal and ji-sensing.
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?
The phrase 'single-call convenience endpoint' implies use when all three signals are needed, and sibling tool names provide clear alternatives for individual signals.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
Discussions
No comments yet. Be the first to start the discussion!
Related MCP Servers
- Alicense-qualityCmaintenanceEnables querying Chinese A-share and index financial data, including real-time quotes, historical bars, and index snapshots, with built-in fallback for unstable endpoints.MIT
- Alicense-qualityFmaintenanceProvides access to Chinese mainland financial data including A-stock quotes, financial statements, industry analysis, and macroeconomics through 42 MCP tools, with automatic data source fallback and no API key required.35Apache 2.0
- Alicense-qualityCmaintenanceReal-time A-share stock data for AI assistants. Provides real-time stock prices, K-line data, financial indicators, and sector fund flow analysis for Chinese A-share market. Multi-source data validation ensures accuracy.4MIT
- Flicense-qualityDmaintenanceProvides real-time quotes, fund flows, and corporate announcements for Chinese A-share stocks. It enables users to search for stocks, analyze financial indicators, and summarize quarterly reports through natural language.