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avarant

Typesense MCP Server

check_typesense_health

Verify the health status of a configured Typesense server to ensure optimal search performance and database functionality.

Instructions

Checks the health status of the configured Typesense server.

Args:
    ctx (Context): The MCP context, providing access to application resources.

Returns:
    dict | str: The health status dictionary from Typesense or an error message.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions that the tool returns 'The health status dictionary from Typesense or an error message,' which hints at read-only behavior and potential errors. However, it lacks details on authentication needs, rate limits, what 'health status' entails (e.g., uptime, metrics), or side effects. For a tool with zero annotation coverage, this is insufficient.

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

Conciseness4/5

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

The description is appropriately sized and front-loaded: the first sentence states the purpose clearly, followed by structured 'Args' and 'Returns' sections. There's minimal waste, though the 'ctx' argument explanation is somewhat redundant given MCP conventions. Overall, it's efficient and well-organized.

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's low complexity (0 parameters, no output schema, no annotations), the description is minimally adequate. It covers the basic purpose and return types but lacks depth in behavioral aspects like error handling or health metrics details. Without annotations or output schema, more context on what 'health status' includes would improve completeness, but it's not entirely inadequate for a simple check tool.

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 parameters need documentation. The description correctly notes 'Args: ctx (Context): The MCP context,' which adds context beyond the empty schema, though this is standard for MCP tools. It doesn't introduce unnecessary parameter details, aligning with the schema's simplicity.

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 tool's purpose: 'Checks the health status of the configured Typesense server.' It specifies the verb ('checks') and resource ('health status of Typesense server'), making the intent unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'describe_collection' or 'list_collections', which serve different purposes but could be loosely related to system status.

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

Usage Guidelines2/5

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. It doesn't mention prerequisites (e.g., server configuration), typical use cases (e.g., monitoring, troubleshooting), or exclusions (e.g., not for data operations). With siblings focused on data manipulation (create, delete, search), some implicit context exists, but no explicit usage instructions are given.

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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