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Visual history of an account (recent approved videos)

get_creative_direction
Read-onlyIdempotent

The choices of this account's last approved videos (up to 20, oldest first): structure (story with a turn, before/after, list with a payoff), the demo shown, opening, layout, motion, captions, transitions and catalog pieces. Read it before a new script or a substantial visual redesign and VARY: not the structure of the last 2 videos, not a demo from the last 5, and a new opening, layout or motion — unless the user wants an intentional series or that exact demo. Kept in Ignix, so it follows the account across computers and agents. Free.

Input Schema

NameRequiredDescriptionDefault
accountIdYesThe account id from list_accounts (the one the video is for).
workspaceIdNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive/openWorld=false, and the description adds real value beyond that: a hard cap of 20 records, oldest-first ordering, cross-machine/cross-agent persistence via Ignix, and 'Free' (no credit cost). It stops short of saying what happens on an account with no approved videos (empty list vs. error), which is the one behavioral gap.

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?

Front-loaded with what the tool returns, then usage, then provenance/cost — a sensible order with no filler sentences. The long parenthetical taxonomy of structures is dense but each item is load-bearing for the variation rules that follow.

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?

There is no output schema, and the description compensates well by enumerating the returned dimensions and their ordering. The remaining gap is edge-case behavior and whether output is a list of per-video records with those fields broken out — an agent could still call it correctly, but the shape is inferred rather than stated.

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 coverage is 50%: accountId is documented in the schema and workspaceId is not. The description implies account scoping ('this account's last approved videos') but never explains accountId's origin or what workspaceId does, so it does not compensate for the undocumented half. Baseline 3 is appropriate when the required parameter is already covered by the schema.

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+resource (the visual/creative choices of this account's last approved videos) and pins the scope precisely: up to 20 items, oldest first, with the exact dimensions returned (structure, demo, opening, layout, motion, captions, transitions, catalog pieces). It is unmistakably the read counterpart to record_creative_direction and cannot be confused with research_account or get_brand_style.

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 an explicit trigger ('read it before a new script or a substantial visual redesign') and an explicit when-not ('unless the user wants an intentional series or that exact demo'). It even encodes the decision rules the reader should apply to the returned data (vary vs. last 2 structures, last 5 demos, new opening/layout/motion), which no sibling tool covers.

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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