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Approve copy

approve_copy
Idempotent

Releases a post's copy-approval gate (status "Read the words first") so its picture starts rendering — used only on a post whose brief asked for AI-generated art or video; a template ($0) or text post is never gated and calling this on one is a harmless no-op. Same trust level as approve_post: only call once the user has actually read the words and wants this exact post's picture made.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
postIdYesThe post's id, from list_posts. Only meaningful on a post whose status is "Read the words first" — approving copy on any other post is a harmless no-op.
brandIdYesThe brand's id, from list_brands.
campaignIdYesAn existing campaign's id, from list_campaigns or generate_campaign.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare destructiveHint=false, idempotentHint=true, and readOnlyHint=false; the description adds real value beyond them by explaining the gating state transition, the no-op behavior on ineligible posts, and the 'same trust level as approve_post' bar for invocation. It does not, however, describe what a successful response looks like (no output schema exists), which keeps it short of a 5.

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?

Two sentences, front-loaded with the core action before the eligibility and trust caveats. It is dense with parentheticals but every clause earns its place; slightly heavy packaging keeps it from a 5.

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

Completeness5/5

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

For a mutating, gated tool with no output schema and no annotations covering eligibility, the description supplies the state precondition, the eligible/ineligible post distinction, the no-op guarantee, and the human-approval requirement — everything an agent needs to call it safely and correctly.

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 all three parameters (brandId, campaignId, postId) already carry their provenance and constraints; the description adds no parameter syntax or format detail beyond restating the 'Read the words first' condition for postId. Baseline 3 is appropriate when the schema does the heavy lifting.

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

Purpose5/5

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

States a specific verb and resource ('Releases a post's copy-approval gate... so its picture starts rendering') and explicitly distinguishes itself from approve_post by naming the shared trust level. An agent can tell it apart from approve_post, approve_strategy, and the other approve_* siblings without opening any schema.

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

Usage Guidelines5/5

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

Gives explicit when-to-use ('only on a post whose brief asked for AI-generated art or video'), explicit when-not ('a template ($0) or text post is never gated'), and names the correct outcome of misuse ('harmless no-op'). It also states a precondition ('only call once the user has actually read the words'), leaving nothing to inference.

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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