view_dashboard
Opens an interactive dashboard (demonstrates MCP Apps extension)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | No | Optional filter query |
Opens an interactive dashboard (demonstrates MCP Apps extension)
| Name | Required | Description | Default |
|---|---|---|---|
| query | No | Optional filter query |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are supplied, so the description carries the full behavioral burden and does not meet it. It does not say whether the dashboard is read-only, whether it renders UI versus returning data, whether any state is mutated, or what the caller receives back.
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?
It is short and front-loaded with the action, which is good, but at one sentence plus a parenthetical it is arguably under-specified rather than concise. The parenthetical is meta-commentary about the feature demo rather than information that helps invocation.
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?
The tool is structurally simple (one optional param, no output schema, no nesting), so the description's brevity is defensible. However, it leaves the core unknown — what the dashboard displays and what the call returns — unaddressed for a tool whose whole point is an interactive UI.
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?
The single optional 'query' parameter is fully documented in the schema (100% coverage), so the schema already carries the meaning. The description adds nothing about what the query filters or its syntax, making this a baseline adequate case rather than a value-add.
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?
The description gives a concrete verb and resource ('Opens an interactive dashboard'), so an agent knows exactly what the tool produces. It does not differentiate against siblings, but the siblings listed are unrelated utilities (hash_input, text_to_speech, summarize_text), so the risk of confusion is low.
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?
There is no explicit when-to-use or when-not-to-use guidance, and no named alternative. The parenthetical 'demonstrates MCP Apps extension' faintly implies a demo/dev context, but an agent must infer that rather than read it.
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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