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Send a human reply in a conversation (REAL email)

reply_in_campaign_thread

Send the email to the contact now. REAL email. Only after the user approved preview_reply_in_campaign_thread. Consider takeover_campaign_thread first so the AI stops answering.

Input Schema

NameRequiredDescriptionDefault
bodyYes
subjectNo
body_htmlNo
thread_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations at all, the description carries the full burden, and it does deliver the single most important behavioral fact: this sends a REAL email and is therefore not a simulation. Beyond that it discloses nothing — no permission requirements, no idempotency/failure behavior, no consequence of sending to the wrong thread, no return indication.

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

Conciseness4/5

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

Four terse sentences, front-loaded with the action, and the 'REAL email' fragment earns its place as emphasis on the side effect. Minor flaw: the hard approval prerequisite trails after the imperative 'send now', which would matter more if the agent skimmed the first sentence only.

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?

No output schema and no annotations mean the description must cover return behavior and side effects, and it covers neither. For an irreversible real-email send with four undocumented parameters, an agent cannot tell what a success response looks like, what happens on partial failure, or how body vs body_html are resolved.

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

Parameters2/5

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

Schema description coverage is 0% across all four parameters and the description mentions none of them. Critically, it never explains the relationship between 'body' and 'body_html' (alternative representations? both sent?) or what 'subject' does in an existing thread, leaving two optional parameters entirely opaque.

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?

States a specific verb and resource — sending an actual email reply within a campaign conversation — and the title reinforces the human/reply framing. It distinguishes itself from its preview sibling by name, though it never explains how it differs from the similarly named reply_to_campaign_email, which is a real source of selection ambiguity.

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

Usage Guidelines4/5

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

Explicitly gates invocation on prior user approval of preview_reply_in_campaign_thread, which is exactly the kind of when-to-use condition an agent needs for an irreversible send. It also names takeover_campaign_thread as a prerequisite consideration so the AI stops auto-answering. No guidance is given for choosing between this and reply_to_campaign_email.

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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