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update_warmup_settings

Configure email warmup parameters to gradually increase sending volume and improve deliverability by adjusting daily limits, ramp-up rates, and reply targets.

Instructions

Update warmup settings for an email account

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
email_account_idYesEmail account ID
warmup_enabledYesEnable warmup
total_warmup_per_dayNoTotal warmup emails per day
daily_rampupNoDaily rampup count
reply_rate_percentageNoReply rate percentage (0-100)
warmup_key_idNoWarmup key ID
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It states 'Update' implying a mutation, but does not disclose behavioral traits like required permissions, whether changes are reversible, rate limits, or what happens to unspecified settings. This is inadequate for a mutation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It is appropriately sized and front-loaded, with zero waste.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation tool with no annotations and no output schema, the description is incomplete. It lacks details on behavioral aspects, error handling, or return values, leaving significant gaps for an agent to understand the tool's full context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema fully documents all parameters. The description does not add meaning beyond the schema, such as explaining interactions between parameters or providing examples. Baseline 3 is appropriate as the schema handles the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Update') and resource ('warmup settings for an email account'), making the purpose understandable. However, it does not differentiate this tool from sibling tools like 'update_email_account' or 'update_campaign_settings', which could involve overlapping concepts.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives, such as 'update_email_account' or 'update_campaign_settings', nor does it mention prerequisites or exclusions. It lacks context for decision-making.

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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