parse_dashboard_notices
Read the selected brand and market's dashboard notices.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| marketId | No | ||
| brandSlug | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| data | Yes | ||
| dataAsOf | No |
Read the selected brand and market's dashboard notices.
| Name | Required | Description | Default |
|---|---|---|---|
| marketId | No | ||
| brandSlug | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
| data | Yes | ||
| dataAsOf | No |
Changes observed during successful MCP inspections.
Output schema / (root)Previous value: -nullNew value: +{
+ "properties": {
+ "data": {},
+ "dataAsOf": {
+ "type": "string"
+ }
+ },
+ "required": [
+ "data"
+ ],
+ "type": "object"
+}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered without the description. The description adds only the resource scope ('selected brand and market's'), no return format, pagination, or auth context — adequate but not enriching.
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 with no filler or redundancy. It is efficient, but the brevity borders on under-specification for a two-parameter, heavily-siblinged tool.
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?
An output schema exists so return values need not be described, but with 0% parameter coverage, an optional-vs-required ambiguity, and a very crowded sibling namespace, the description does not supply enough for reliable selection or invocation.
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 0%, so the description carries the burden for the 2 parameters and only partially delivers: it implies both a brand and a market are needed, while the schema actually makes marketId optional (default null, required: [brandSlug]). No format, slug shape, or default behavior is explained.
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 specific verb ('Read') and resource ('dashboard notices') scoped to a brand and market, so the agent knows what the tool does. However, it makes no attempt to distinguish itself from the many near-named siblings (parse_dashboard_changes, parse_dashboard_overview, parse_dashboard_standing), and 'notices' remains loosely defined.
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 statement of when to use this tool, when not to, or which sibling to use for adjacent needs. The agent must infer selection from the name alone among ~50 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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