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yangkyeongmo

MCP Server for OpenMetadata

by yangkyeongmo

list_dashboards

Retrieve dashboards from OpenMetadata using pagination and filters such as service, fields, and include deleted status.

Instructions

List dashboards from OpenMetadata with pagination and filtering

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
offsetNo
fieldsNo
serviceNo
include_deletedNo
Behavior2/5

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

With no annotations provided, the description carries full burden but only mentions pagination and filtering. It does not disclose behavioral traits like rate limits, data freshness, response structure, or what happens with deleted dashboards despite an include_deleted parameter.

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?

Single sentence, front-loaded with the core action, no redundant words. Efficient and to the point.

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?

Adequate for a simple list tool but incomplete given 5 parameters, no output schema, and many siblings. Could mention response format or behavior on empty results. Lacks preconditions or error information.

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

Parameters3/5

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

Schema coverage is 0%, so description should compensate. It adds high-level meaning that limit/offset support pagination and fields/service/include_deleted support filtering, but lacks specific explanations for each parameter. This is marginal for 0% 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 (list) and resource (dashboards) and adds capabilities (pagination and filtering). It does not explicitly contrast with sibling tools like get_dashboard or create_dashboard, but the purpose is unambiguous.

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?

No guidance on when to use this tool versus other list tools or get_dashboard. There are no exclusions or alternatives mentioned, leaving the agent to infer usage from context.

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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