Read email automation settings
yardstick_email_automation_settings_readRead candidate email automation settings.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| request_id | No |
yardstick_email_automation_settings_readRead candidate email automation settings.
| Name | Required | Description | Default |
|---|---|---|---|
| request_id | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description matches annotations (readOnlyHint=true, idempotentHint=true, destructiveHint=false) and adds no contradictory claims. However, it adds no behavioral context beyond what the annotations already establish, so it provides only baseline adequacy.
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?
The description is a single short sentence with no filler and the main verb is front-loaded. It is concise, though it is concise to the point of omitting useful context.
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?
There is no output schema, no explanation of return values, no parameter semantics, and no distinction from closely related email-settings read tools. An agent cannot confidently infer what will be returned or how request_id affects the result.
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%, and the only parameter, request_id, is optional and undocumented. The description never mentions request_id or explains when or why an agent would supply it, so the agent gets no assistance beyond the bare property name.
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 uses a specific verb ('Read') and identifies the resource as 'candidate email automation settings.' It is clearly a read operation and is distinguishable from the sibling update tool by the read/write split, though it does not explicitly name or contrast any sibling.
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?
No guidance is given for when to use this tool versus the update tool or other email settings reads like yardstick_email_sender_settings_read. The read-only nature is implied by the verb but no exclusions or alternative conditions are provided.
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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