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openmetadata-mcp-server

list-dashboards

List dashboards with pagination and service filtering. Supports cursor navigation and field projection.

Instructions

List dashboards with pagination and service filtering

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldsNoComma-separated fields to include (e.g. 'owners,tags,followers,charts')
limitNoNumber of results per page
beforeNoCursor for backward pagination
afterNoCursor for forward pagination
serviceNoFilter by service FQN
includeNoInclude deleted entitiesnon-deleted
extractFieldsNoComma-separated dotted paths to project from response (e.g. 'id,name,owner.name,columns.*.name'). Use `*` as wildcard for arrays/objects. Wrap field names with dots in backticks. Reduces response tokens dramatically on large entities.
Behavior2/5

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

No annotations are provided, so the description carries full burden. It only mentions pagination and filtering, but fails to disclose read-only nature, authentication needs, rate limits, or any other behavioral traits beyond the basic operation.

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 a single concise sentence that is front-loaded with key features. It is efficient, but could be slightly expanded for clarity without losing brevity.

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

Completeness2/5

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

For a tool with 7 parameters, no output schema, and no annotations, the description is too brief. It does not explain pagination mechanics, default behavior, or what the response contains, leaving gaps for an AI agent.

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 100% with detailed parameter descriptions (e.g., fields, limit, cursor). The description adds no extra semantic value beyond mentioning pagination and filtering; baseline of 3 is appropriate as schema does the heavy lifting.

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 lists dashboards and mentions two key features (pagination and service filtering). It is specific and distinguishable from other list tools, but does not explicitly differentiate.

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 for listing with pagination and filtering, but provides no guidance on when to use this tool versus alternatives like search or get-dashboard, nor any prerequisites or exclusions.

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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