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sdrom2008

Synerixis Ops MCP

by sdrom2008

approve_ai_reply

Destructive

Approve a pending AI-generated reply draft and send it after host authorization; provide draftId when multiple drafts await action.

Instructions

Approve one pending AI draft and send it. Pass draftId when more than one draft is waiting. Host must approve. confirm is not set by this client.

Input Schema

NameRequiredDescriptionDefault
confirmYes
draftIdNoRequired when several actionable drafts exist
conversationIdYes
idempotencyKeyNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already disclose destructive=true, openWorld=true, and non-idempotent behavior. The description adds the useful authorization constraint ('Host must approve') and the multiple-draft nuance, but 'confirm is not set by this client' is cryptic and leaves the approval confirmation model unclear for a destructive action.

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?

The description is short, front-loaded with the action, and each sentence is brief. The final sentence about confirm is terse to the point of ambiguity, slightly undermining the otherwise efficient structure.

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

Completeness3/5

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

For a destructive, non-idempotent approve-and-send operation with no output schema and low parameter documentation, the description covers purpose and authorization but leaves key semantics (confirm, idempotencyKey, behavior on already-approved drafts, result of the call) unaddressed.

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 coverage is only 25%: only draftId is documented. The description restates the draftId conditionality but says nothing meaningful about conversationId, idempotencyKey, or what confirm controls; the confirm sentence is more confusing than clarifying.

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 states a specific verb and resource: 'Approve one pending AI draft and send it.' It is clearly distinguishable from reject_ai_reply and send_message by intent, though it never names an alternative explicitly.

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

Usage Guidelines3/5

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

'Pass draftId when more than one draft is waiting' and 'Host must approve' give practical invocation context. But there is no guidance on when to use this instead of reject_ai_reply or send_message, and no stated preconditions beyond host approval.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.