Geond Agent Protocol

Get dashboard overview

get_dashboard_overview

Get a compact read-only dashboard summary for a workspace, showing summary cards, recent activity, handoffs, reservations, and risk signals, to quickly assess current state without raw transcripts.

Instructions

Purpose: Return a compact read-only dashboard summary for one workspace. When to use: call when a human reviewer, PM agent, or orchestrator needs current state without reading raw transcripts. Inputs: workspace_id and limit. Side effects: none beyond database reads. Output: summary cards, recent activity, handoffs, reservations, and risk signals. Failure modes: returns sparse sections for a new workspace.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "workspace_id": "<workspace_id>"
    },
    "name": "get_dashboard_overview"
  }
}

Input Schema

Name	Required	Description	Default
`limit`	No	Maximum number of recent rows to include in overview sections.
`workspace_id`	Yes	Workspace UUID whose dashboard overview should be returned.

Output Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.1.0Jun 3, 2026

TDQS

A4.1/5.0

Behavior5/5

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

No annotations exist, so the description carries full responsibility. It explicitly states 'Side effects: none beyond database reads' and 'Failure modes: returns sparse sections for a new workspace,' which gives the agent a clear behavioral model. This exceeds what is necessary.

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 highly structured with labelled sections (Purpose, When to use, Inputs, etc.) and consists of five concise sentences with no redundancy or filler.

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

Completeness4/5

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

Given the complexity of a dashboard tool, the description covers purpose, usage context, inputs, side effects, output components, and failure mode. It omits potential details like authentication or performance, but is reasonably complete for a read-only tool.

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%, so the baseline is 3. The description merely restates the inputs ('workspace_id and limit') without adding any additional semantic context or constraints beyond the schema fields.

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 returns a 'compact read-only dashboard summary for one workspace' with a specific verb and resource. However, it does not explicitly differentiate from siblings like get_active_reservations or list_handoff_summaries, though their purposes are distinct.

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

Usage Guidelines4/5

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

Provides explicit context: 'call when a human reviewer, PM agent, or orchestrator needs current state without reading raw transcripts.' This clearly indicates when to use, but lacks guidance on when not to use or specific alternatives among the many sibling tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.