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Get spec changes since a date

get_changes
Read-onlyIdempotent

Read-only. Return the spec's change history — new pages, status promotions/downgrades, substantive rewrites, and removals — newest first, each resolved to the current topics it affects (slug, title, current status, category, URL). This is the delta tool for a returning agent: pass since (the date you last audited a site) to get only what has changed, then re-audit just those topics instead of the whole spec. Omit since to get the most recent entries. The spec is hand-curated and typed (added/changed/status/removed), so this is a precise signal, not a raw timestamp diff. The same history is published as an RSS feed at https://specification.website/changelog/rss.xml for out-of-band polling. A sensible re-check cadence is monthly, or whenever you start a fresh audit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoFilter to one kind of change. `added` = a new spec page or category. `status` = a topic promoted or downgraded between tiers. `changed` = a substantive rewrite of an existing page. `removed` = a page that was live and has been deleted. Omit to include all four kinds.
limitNoMaximum number of change entries to return, newest first. Defaults to 20 when `since` is omitted, or up to 100 within a `since` window; clamped to 1–100.
sinceNoReturn only changes on or after this date (ISO `YYYY-MM-DD`; longer ISO datetimes are accepted and truncated to the day). Typically the date of your last audit. Omit to get the most recent changes regardless of date. Example: `2026-05-01`.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYesThe `type` filter that was applied, or null.
countYesNumber of change entries returned.
sinceYesThe `since` date that was applied (truncated to YYYY-MM-DD), or null.
latestYesDate of the most recent change in the whole spec (independent of filters). Store this and pass it back as `since` next time.
changesYesMatching change entries, newest first.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

A4.9/5.0
Behavior5/5

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

Describes the read-only nature, the hand-curated and typed nature of changes, and the resolution format. Adds context beyond annotations (readOnlyHint, idempotentHint) by detailing what each change type means and how results are structured.

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 efficiently structured with a clear first sentence stating purpose, followed by usage guidance and parameter details. Every sentence adds information without redundancy.

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?

Given the tool has an output schema, the description covers all necessary context: purpose, parameter behavior, usage scenario, cadence, and even an alternative data source (RSS). It is complete for an agent to use correctly.

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

Parameters4/5

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

All three parameters are covered in the schema (100% coverage), so baseline is 3. The description adds value by explaining the 'since' parameter's typical use as 'date of your last audit' and clarifying the 'type' enum values, earning a 4.

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 clearly states the tool returns the spec's change history with specific change types and resolution to current topics. It differentiates itself from siblings like list_topics and get_topic by being the 'delta tool' for returning agents.

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?

Explicitly explains when to pass 'since' (last audit date) vs omit it (most recent entries), recommends a monthly cadence, and mentions the alternative RSS feed. This provides clear guidance on when to use this tool versus alternatives.

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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TDQS

A4.7/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: get_categories for categories, get_changes for history, get_checklist for checklists, get_topic for single page, list_topics for listing, and search for full-text. There is no overlap.

Naming Consistency4/5

Most tools follow 'get_' pattern (get_categories, get_changes, get_checklist, get_topic), but list_topics and search break the pattern. However, all names are intuitive and consistent in using lowercase with underscores.

Tool Count5/5

With 6 tools covering categories, search, listing, details, checklist, and changes, the count is well-suited for a specification reference. Each tool serves a clear need without excess.

Completeness5/5

The tool set covers all read operations needed for a specification: discovery (categories, search), browsing (list_topics, get_checklist), deep dive (get_topic), and change tracking (get_changes). No obvious gaps for its intended use.

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