list_market_caps
List all assets ranked by market capitalization in descending order.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Max results to return (default: 10, max: 50) |
List all assets ranked by market capitalization in descending order.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Max results to return (default: 10, max: 50) |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint, so the safety profile is clear. The description adds the behavioral detail of descending order, but does not disclose pagination behavior, rate limits, or what fields are returned. With strong annotations, the description provides modest added value.
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, clear sentence with zero wasted words. It is front-loaded and efficient.
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 (one optional parameter) and good annotations, the description is adequate. However, with no output schema, it could be more helpful by indicating the fields in each returned asset or any implicit limits beyond the parameter.
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 coverage is 100% (the single parameter limit is described with default and max). The description does not add meaning beyond the schema; it mentions descending order but that is not parameter-specific. Baseline 3 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?
The description uses a specific verb ('List') and resource ('assets'), and specifies ordering ('ranked by market capitalization in descending order'). This clearly distinguishes it from sibling tools like list_assets (which may not have ordering) and get_market_cap (single asset).
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 is provided on when to use this tool versus alternatives such as get_market_cap or list_assets. There are no exclusions, prerequisites, or explicit context for selection.
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.
Each tool has a clearly distinct purpose: asset details, summaries (current and historical), market cap, market summary, price history, surging/trending assets, and listing assets/market caps. No overlaps.
All tools follow a consistent verb_noun pattern with 'get_' for specific queries and 'list_' for enumerations. No mixing of conventions.
10 tools is well-scoped for a market data server, covering all essential read operations without being excessive or insufficient.
The set covers all common market data needs: asset details, summaries, market cap, price history, trending/surging assets, and full listings. No critical gaps for a read-only data server.