Get an Ask Widget
get_ask_widgetUse this when the user asks to get an Ask Widget. Returns only data visible to the linked Market Brew account.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
get_ask_widgetUse this when the user asks to get an Ask Widget. Returns only data visible to the linked Market Brew account.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds one piece of genuine context that annotations cannot express: results are scoped to the linked Market Brew account. No pagination, rate-limit, or error behavior is disclosed, so it only adds modest value over the annotations.
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?
Two short sentences with no filler and the trigger front-loaded, which is good structure. However, the brevity comes from under-specification rather than efficiency, so it neither wastes words nor earns credit for substance.
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 single-parameter read tool whose annotations cover safety and with no output schema to explain, the description is minimally complete. It still omits the identifier's meaning and any hint of what the returned widget contains, which leaves real gaps for an agent.
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?
There is one required parameter (id) with 0% schema description coverage, so the schema gives no meaning for it and the description must compensate. It never explains what the id refers to (widget id, account-scoped id, accepted string vs number), leaving the sole parameter semantically undocumented.
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?
"Use this when the user asks to get an Ask Widget" essentially restates the tool name and title rather than describing what retrieval actually yields (which fields, what an 'Ask Widget' is). It offers no differentiation from the many sibling get_* and list_ask_widgets tools, so an agent must infer the resource from the name alone.
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 opening clause is a bare trigger ('when the user asks to get an Ask Widget') with no when-not conditions and no pointer to alternatives such as list_ask_widgets for enumeration or check_ask_widget_health. An agent gets no help deciding among the sibling 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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