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PrefectHQ

prefect-mcp-server

Official
by PrefectHQ

get_dashboard

View high-level Prefect instance dashboard with flow run statistics, work pool status, and concurrency limits to diagnose flow run delays and bottlenecks.

Instructions

Get a high-level dashboard overview of the Prefect instance.

Returns current flow run statistics, work pool status, and all active concurrency limits (global/tag-based, deployment, work pool, and work queue). Essential for diagnosing flow run delays and bottlenecks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspace_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorYes
successYes
flow_runsYesStatistics about flow runs.
active_work_poolsYes
concurrency_limitsYes
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It explains what the tool returns (statistics, status, concurrency limits) but does not disclose behavioral traits like side effects, permissions, or error conditions. Adequate but limited.

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 two sentences, front-loaded with purpose and content details. Efficient with no fluff, though slightly verbose in listing all concurrency limit types.

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 an output schema, the description does not need to explain return values. However, it fails to describe the single optional parameter, leaving a gap. Adequate for the main functionality but incomplete for full usage.

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

Parameters1/5

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

The input schema has one parameter (workspace_id) with 0% description coverage, meaning the schema provides no meaning. The tool description does not mention or explain this parameter at all, leaving the agent without guidance on when or how to use it.

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

Purpose5/5

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

The description clearly states the tool gets a high-level dashboard overview and lists specific data returned (flow run statistics, work pool status, concurrency limits). It distinguishes from siblings by aggregating multiple types into one overview.

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 mentions it is 'essential for diagnosing flow run delays and bottlenecks,' implying a usage context. However, it does not explicitly state when to use this tool versus alternatives or provide any 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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