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Identity Forge MCP

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Diff two kit versions

diff_kit_versions

Compare two versions of a design kit to see exactly what changed—paths, values, and CSS variables—so you know what to update in your codebase.

Instructions

What changed between two versions of a kit: a list of paths with the old and new value, the CSS custom property a token change drives, and a mechanical summary. This is the tool for taking a brand change into a codebase, because it tells you the handful of things to update rather than making you re-read a whole DESIGN.md. Pass from alone to compare against the current version, which is the usual question: from is the version your repo recorded in identityforge.json. Pass both to pin a range. It reports what moved and does not judge how big the change is; whether a token shift matters to your UI is your call, not a number we invent. For a Pro kit you are not entitled to, every change comes back with redacted: true carrying the path, kind and CSS variable but no before or after, and redactedChanges counts them, so you can still see the shape of the change and know exactly what is withheld. Needs kits:read.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoUpper bound. Omit to compare against the kit's current version, which is what you want when asking whether it moved since you built.
fromNoLower bound. Omit to diff the current version against the one before it. Must be lower than the upper bound.
slugYesPermanent kit id or slug.
Behavior5/5

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

With no annotations provided, the description carries the full burden and excels. It discloses output structure, the effect of omitting `from` or `to`, that it reports mechanical changes without judging their significance, and detailed redaction behavior for unauthorized Pro kits (including the exact shape of redacted objects and counts). It even mentions the required `kits:read` permission. This is exemplary transparency.

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?

The description is longer than average, but every sentence earns its place: it front-loads the core result, then guides usage, then covers edge cases and permissions. There is zero fluff or repetition; density of useful information is high.

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 tool with no output schema and no annotations, the description successfully covers purpose, output shape, usage patterns, permission requirements, and a nuanced redaction case. An agent has enough context to decide when to call it and what to expect from the response, even without an output schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3, but the description adds significant value beyond the schema. It explains the semantic distinction between passing `from` alone versus both bounds, ties `from` to the version recorded in identityforge.json, and explains how redaction affects parameter output. This goes beyond the schema's terse parameter descriptions.

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?

The description starts with a concrete, specific verb ('diff') and resource ('two versions of a kit'), then enumerates exactly what the output contains: paths with old/new values, CSS custom properties, and a mechanical summary. It clearly distinguishes itself from siblings like diff_brand_project_versions by focusing on kits and even contrasts with reading DESIGN.md. This is a model of purpose clarity.

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?

The description explicitly says 'This is the tool for taking a brand change into a codebase' and explains the common pattern of passing `from` alone to compare against the current version. It also warns against relying on re-reading DESIGN.md as an alternative. However, it does not name specific sibling tools (e.g., get_kit_version, diff_brand_project_versions) or explicitly say 'use X instead,' so it stops short of full alternative differentiation.

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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