get_market_analysis
AI-generated market analysis with sentiment, key levels, risk factors (paid: $0.05 USDC via x402).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
AI-generated market analysis with sentiment, key levels, risk factors (paid: $0.05 USDC via x402).
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Mentions the tool is paid ($0.05 USDC via x402), which is a transparent behavior. Also notes 'AI-generated', implying possible non-determinism, but does not elaborate on rate limits, side effects, or failure modes. Given no annotations, the description carries the burden but only partially covers it.
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, concise sentence that directly states the tool's purpose and key output components. No fluff or redundant wording.
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?
Provides sufficient context for a simple tool with no parameters and no output schema: it lists what the analysis includes (sentiment, key levels, risk factors) and notes the cost. Could specify the market type (e.g., crypto) but the sibling names imply it, so it is reasonably complete.
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 tool has zero parameters, so the schema is fully covered (100%). Baseline for 0 params is 4; the description does not need to explain any parameters, and it avoids adding irrelevant details.
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?
Clearly states the tool provides AI-generated market analysis with sentiment, key levels, and risk factors, distinguishing it from price/quote/report tools. Could be more specific about the market type or analysis scope, but the core purpose is clear.
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 explicit guidance on when to use this tool over the sibling tools (e.g., get_research_report). The only usage hint is the cost, but it does not help with selection. Lacks comparative context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.