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Soundhannes

IMAP MCP Server

by Soundhannes

reload_auto_archive

Reloads updated auto-archive configuration from file after manual edits to apply new email archiving rules.

Instructions

Reload auto-archive config from file (after manual edit)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The implementation of reload_auto_archive which calls _load_auto_archive_config.
    def reload_auto_archive(self) -> bool:
        """Reload auto-archive config from file."""
        self._load_auto_archive_config()
        return True
  • The MCP server tool dispatch logic for reload_auto_archive.
    elif name == "reload_auto_archive":
        return imap_client.reload_auto_archive()
Behavior2/5

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 mentions reloading from a file after manual edit, but lacks details on permissions needed, potential side effects (e.g., if it disrupts ongoing processes), error handling, or response format. For a mutation tool with zero annotation coverage, this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the key action and context without any wasted words. It effectively communicates the core purpose in a minimal format, making it highly concise and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 0 parameters and no output schema, the description is adequate for basic understanding but incomplete for a mutation tool with no annotations. It should ideally cover behavioral aspects like safety, effects, or error cases to be fully helpful, leaving room for improvement.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description adds context about the action being triggered 'after manual edit,' which provides useful semantic insight beyond the schema, justifying a score above the baseline of 3 for high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('reload') and the resource ('auto-archive config from file'), making the purpose specific and understandable. However, it doesn't explicitly differentiate from siblings like 'process_auto_archive' or 'get_auto_archive_list', which could help clarify its unique role in the toolset.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage context ('after manual edit'), suggesting it should be used post-editing, but it doesn't provide explicit guidance on when to choose this tool over alternatives like 'process_auto_archive' or warn against misuse. This leaves some ambiguity in tool selection.

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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