view_dashboard
Open a dashboard: each tile's name and its current data (first 50 rows per tile).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| dashboard | Yes | Dashboard id or slug |
Open a dashboard: each tile's name and its current data (first 50 rows per tile).
| Name | Required | Description | Default |
|---|---|---|---|
| dashboard | Yes | Dashboard id or slug |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare this as read-only and non-open-world, so the bar is lower. The description adds useful behavioral detail beyond annotations: it returns each tile's name and current data, capped at the first 50 rows per tile.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded sentence that names the action and the returned payload. It contains no filler and every phrase contributes useful information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple one-parameter read tool with no output schema, the description provides the key return structure: tile names and current data, limited to 50 rows per tile. It could mention behavior when tiles exceed that limit, but it is otherwise sufficiently complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, and the single parameter is documented as 'Dashboard id or slug'. The description adds no additional parameter syntax, format, or constraint information beyond the schema, so the baseline of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb and resource: opening a dashboard, and explains what content is returned. It does not explicitly differentiate itself from the sibling list_dashboards, which keeps it from being a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no when-to-use guidance, prerequisites, or alternatives. It implies usage from the name but does not tell an agent when to choose this over list_dashboards or other dashboard-related tools.
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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