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brand_audit_drift

Batch audit multiple content items to detect systematic brand drift. Scores each item against brand identity, computes corpus-level statistics, and identifies recurring patterns. Writes a detailed report to .brand/drift-report.md.

Instructions

Batch audit multiple content items to detect systematic brand drift. Scores each item against brand identity, computes corpus-level statistics (mean, median, stddev), and identifies recurring patterns across items (e.g., same off-palette color in 4/5 items). Writes a detailed drift report to .brand/drift-report.md. Use when reviewing a content corpus, auditing a website, or checking whether brand identity is being applied consistently across multiple pieces.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYesJSON array of content items to audit. Each item: {"content": "text or HTML or file path", "label": "descriptive name"}. Max 20 items. Example: '[{"content": "public/page.html", "label": "Homepage"}, {"content": "<p>Draft copy</p>", "label": "Email draft"}]'
thresholdNoMinimum acceptable score (0-100). Items below this are flagged as drifted. Default: 70.
Behavior5/5

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

No annotations provided, but description fully discloses key behaviors: scores items, computes statistics, identifies patterns, and writes a drift report to .brand/drift-report.md. No contradictions.

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?

Two sentences that are front-loaded with purpose, then output details, then usage guidance. Every sentence is necessary and no redundancy.

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?

Lacks description of return value or response format. Since there is no output schema, the description should clarify whether the tool returns the report content or just a confirmation. Also no mention of error handling.

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 100%, so baseline is 3. Description does not add any additional meaning beyond the schema's descriptions for 'items' and 'threshold'.

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?

Description uses specific verb 'audit' and resource 'content items' with clear focus on 'systematic brand drift'. It distinguishes from sibling tools like brand_audit by emphasizing batch processing and corpus-level statistics.

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 states when to use: 'reviewing a content corpus, auditing a website, or checking consistency.' However, it does not mention when not to use or provide alternative tools.

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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