get_summary
One-call market overview: prices, sentiment, global, top movers. $0.01.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| api_key | Yes |
One-call market overview: prices, sentiment, global, top movers. $0.01.
| Name | Required | Description | Default |
|---|---|---|---|
| api_key | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so the description bears full burden. It mentions the cost ($0.01) and the data categories returned, but lacks disclosure of side effects, rate limits, authentication requirements beyond the api_key parameter, or any destructive behavior. It adds some value but is insufficient for full transparency.
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 extremely concise with two short phrases that front-load the purpose and include a cost note. Every word serves a purpose with zero waste.
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 output schema and only one parameter, the description still lacks details on the output format, interpretation of the data, or any usage constraints. A more complete description would help agents understand what to expect from the response.
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?
Schema description coverage is 0% and the description does not explain the single parameter (api_key). The description offers no additional meaning about how to use the parameter, what it represents, or any constraints. This is a critical gap.
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 one-call market overview covering prices, sentiment, global data, and top movers. This verb+resource combination distinguishes it from sibling tools that focus on specific aspects (e.g., get_coin, get_global, get_price_summary).
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 implies usage for a broad market snapshot but does not explicitly state when to use this tool versus alternatives, nor does it mention exclusions. Usage guidance is implicit from the overview scope.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.