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Get a site's violation-count trend

get_trends
Read-onlyIdempotent

View chronological history of full-site accessibility runs, with severity counts and added/resolved markers to track violation trends.

Instructions

Chronological (oldest->newest) per-run point history for a registered site's completed full-site runs — counts by severity and, where a comparison exists, added/resolved markers. No score. Pro+ (TREND_HISTORY).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMost recent N runs (default 30, max 100).
siteHostYesThe registered site's normalized host, as list_sites reports it.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
trendYes
standardYesThe standard the checks were run against, e.g. "WCAG 2.1 AA".
scoringGuidanceYesBinding instruction for the assistant reading this result. Follow it literally.
coverageDisclaimerYesWhy this result is not a compliance verdict. Always relay it; never present a scan as proof of conformance.
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint. The description adds valuable behavioral context: chronological ordering, per-run points, severity counts, marker conditions, and plan requirement. No contradictions with annotations.

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 two efficient sentences, front-loading key information: chronological order, data points, constraints. Every sentence adds value with no waste.

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?

Given the presence of an output schema and only two parameters, the description covers core aspects: data shape, ordering, feature marker, plan requirement. Missing details like limit default or pagination are minor omissions for a tool of this complexity.

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% with descriptions for both parameters. The description does not add extra meaning to parameters beyond what the schema provides. Baseline 3 is appropriate as the schema already documents parameters adequately.

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 chronological per-run point history for a registered site's completed full-site runs, with counts by severity and optional added/resolved markers. It distinguishes from 'score' and mentions the Pro+ plan requirement, making the purpose specific and unambiguous.

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

Usage Guidelines3/5

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

The description implies usage for historical trend data and specifies constraints (registered site, completed full-site runs, no score). However, it does not explicitly compare with siblings like get_run or get_findings, nor does it state when not to use this tool. The guidance is implied but not explicit.

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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