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Dalea AI

Review content refinement

review_content_refinement
DestructiveIdempotent

Apply or dismiss a saved refinement preview without another AI call. Refuses to overwrite content edited since the preview. includeSuggestedSettings=true explicitly accepts unsolicited settings proposals too. Calendar dates and status are internal planning only; this never publishes a post.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYes
brandIdNo
contentIdYes
refinementIdYes
includeSuggestedSettingsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true and idempotentHint=true, so the safety profile is partly covered. The description adds real behavior beyond them: stale-content protection ('refuses to overwrite content edited since the preview') and the explicit scoping that this never publishes a post. It does not state what an agent sees when the refusal triggers.

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?

Four sentences, each load-bearing: purpose first, then the staleness constraint, then the one non-obvious parameter, then the scope disclaimer. No filler or restatement of the title.

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

Completeness4/5

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

For a 5-parameter mutation tool with no output schema, the description covers purpose, the key behavioral guardrail, one parameter's nuance, and the publishing boundary. It omits what a successful apply/dismiss returns and how the stale-content refusal surfaces, which is a modest gap given the annotations cover mutation risk.

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 0%, so the description must carry parameter meaning. It explains includeSuggestedSettings as accepting unsolicited settings proposals, and echoes the apply/dismiss semantics of the action enum, but leaves brandId, contentId and refinementId with no added meaning beyond their names.

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 pair (apply/dismiss) and resource (a saved refinement preview), and the phrase 'without another AI call' distinguishes it from the generation-side siblings like refine_content. It stops short of naming the sibling it complements, but the operation is unmistakable.

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?

It makes the precondition clear (a refinement preview must already be saved) and implicitly routes the agent here as the cheap follow-up rather than re-running an AI refinement. No explicit when-not-use or named alternatives are provided, so it is clear context rather than full routing guidance.

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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