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jamesbrink

MCP Server for Coroot

get_panel_data

Retrieve data from a specific dashboard panel, including metrics and time series, by specifying project, dashboard, and panel IDs with optional time range.

Instructions

Get data for a specific dashboard panel.

Retrieves the data that powers a specific panel in a custom dashboard, including metrics, time series data, or aggregated values.

Args: project_id: The project ID dashboard_id: The dashboard ID panel_id: The panel ID within the dashboard from_time: Optional start time (ISO format or relative like '-1h') to_time: Optional end time (ISO format or 'now')

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYes
dashboard_idYes
panel_idYes
from_timeNo
to_timeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description must convey behavioral traits. It states that data is retrieved (read operation) and mentions optional time parameters, but does not explicitly confirm read-only nature, authentication needs, or rate limits. For a read tool, this is minimally adequate.

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 concise docstring with a clear summary and parameter list. It avoids unnecessary words but could be more structured. The parameter list is somewhat redundant with the schema, but it adds value through formatting hints.

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 presence of an output schema, the description does not need to detail return values. It covers the tool's purpose, parameters, and basic usage. However, it lacks information about error scenarios or data refresh behavior, which would make it more complete.

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?

Schema description coverage is 0%, so the description must compensate. It provides parameter names and brief explanations, e.g., 'from_time: Optional start time (ISO format or relative like '-1h')'. This adds meaning beyond the schema's titles, though more detail on format constraints would improve 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 starts with 'Get data for a specific dashboard panel,' which is a specific verb and resource. It elaborates on what kind of data (metrics, time series, aggregated values), clearly distinguishing from sibling tools like get_dashboard that likely return metadata. No ambiguity.

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 retrieving panel data but does not explicitly state when to use it versus alternatives like get_dashboard or other get_* tools. It lacks guidance on prerequisites or context, though the purpose is clear.

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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