list_experts
Retrieve available Expert Advisors for backtesting trading strategies in MetaTrader 4.
Instructions
List available Expert Advisors for backtesting
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve available Expert Advisors for backtesting trading strategies in MetaTrader 4.
List available Expert Advisors for backtesting
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool lists items but doesn't describe what 'available' means (e.g., remote vs. local, filtered by permissions), whether it's paginated, or what the output format looks like. This leaves significant gaps for a tool with zero annotation coverage.
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, efficient sentence that directly states the tool's purpose without any wasted words. It is appropriately sized and front-loaded, making it easy to parse quickly.
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 the lack of annotations and output schema, the description is incomplete. It doesn't explain what 'available' entails, how results are returned, or any behavioral traits like rate limits or permissions. For a tool with no structured data support, this minimal description leaves too many contextual gaps.
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, and the schema description coverage is 100%, so there are no parameters to document. The description doesn't need to add parameter semantics, but it could have mentioned any implicit filters or scopes (e.g., by user or status). Baseline for zero parameters is 4, as it's inherently complete in this dimension.
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 action ('List') and resource ('available Expert Advisors for backtesting'), making the purpose immediately understandable. However, it doesn't differentiate from the sibling tool 'list_local_eas', which appears to be a similar listing function, preventing a perfect score.
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 guidance on when to use this tool versus alternatives like 'list_local_eas' or other sibling tools. It lacks context about prerequisites, timing, or exclusions, leaving the agent with minimal usage direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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