get_research_report
Full structured market research report: technical, on-chain, outlook (paid: $0.25 USDC via x402).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Full structured market research report: technical, on-chain, outlook (paid: $0.25 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?
With no annotations, the description carries the transparency burden. It discloses the paid nature ($0.25 USDC via x402) and the report's contents, which is useful. However, it does not explain payment flow, authentication needs, error behavior, or data freshness—key behavioral details for a paid external tool.
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 that front-loads the core purpose, then compactly lists report sections and the payment detail. Every word contributes value and there is no filler.
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?
For a zero-parameter tool with no output schema, the description is reasonably complete: it defines the report scope and the cost. The main gap is lack of differentiation from sibling analysis tools, but otherwise an agent can understand what this tool will provide.
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 there is no parameter documentation burden. The description also adds helpful context about the report contents, exceeding the minimal expectation.
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 full structured market research report covering technical, on-chain, and outlook content. It uses a specific resource noun and conveys scope, but it does not explicitly distinguish itself from the sibling tools like get_market_analysis.
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 explicit guidance on when to use this tool versus alternatives such as get_market_analysis or get_market_quote. It implies it is for comprehensive research, but gives no exclusions, prerequisites, or alternative recommendations.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.