cex_dc_list_dc_insurance_ledger
List delivery insurance ledger.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Maximum number of records to return | |
| settle | No | Settlement currency for delivery (e.g. usdt, btc) |
List delivery insurance ledger.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Maximum number of records to return | |
| settle | No | Settlement currency for delivery (e.g. usdt, btc) |
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=true, idempotentHint=true, and destructiveHint=false, so safety is covered. However, the description adds no behavioral context beyond what annotations provide—it does not mention pagination, return contents, or any scoping constraints. This is a bare restatement of the tool's name.
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 short sentence with no filler or redundant words. It is maximally concise, though it leans toward under-specification; however, conciseness is about efficient structure, and this is perfectly economical.
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 tool is simple with only two optional parameters and no output schema, so the description need not be elaborate. However, it does not explain what an 'insurance ledger' contains or clarify the 'delivery' context, which could leave an agent uncertain about the return value. The parameter schema fills some gaps, but the description lacks a complete picture.
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 100% coverage: both 'limit' and 'settle' have descriptions, so the schema carries the full burden for parameter semantics. The description itself adds no parameter information, but per the baseline for high schema coverage, a score of 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 states a specific verb ('List') and a specific resource ('delivery insurance ledger'), which clearly indicates what the tool does. It distinguishes from sibling tools like cex_fx_list_fx_insurance_ledger by the 'delivery' qualifier, though it does not explicitly name alternatives.
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 the FX insurance ledger or other list tools. The description gives no context about appropriate scenarios, prerequisites, or exclusions, leaving the agent to infer usage purely from the name.
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.
Every tool is clearly scoped by its domain prefix (spot, fx, options, etc.) and resource type, with no two tools serving the same purpose. Even similar data types like candlesticks and order books are unambiguously separated by market.
The naming follows a strong pattern: cex_<domain>_<verb>_<resource>. However, the use of 'get' vs 'list' is occasionally inconsistent (e.g., cex_fx_get_fx_tickers vs cex_spot_list_currencies), and some names are verbose with version suffixes like 'v4'.
With 63 tools, this is an extreme count that will overwhelm an agent. While the breadth covers many product lines, the vast number of endpoints makes selection difficult and violates the typical scope for an MCP server.
The tool surface comprehensively covers public market data across spot, futures, options, delivery, earn, margin, lending, launch, and social products. Minor gaps exist (e.g., no historical trade depth, no single-ticker convenience methods), but the core data needs are fully addressed.