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Read your site's AI readability check

get_site_check
Read-onlyIdempotent

The latest AI readability check of your site: checks passed (k of n), the score, and how to fix each failing check.

Input Schema

NameRequiredDescriptionDefault
siteNoOne of your sites in Goppa, by domain (example.com). Required when the account has more than one site: without it, the answer lists the sites to choose from. With a single site it can be left out.
cursorNonext_cursor from the previous page, to read the next 10 items.

Output Schema

NameRequiredDescriptionDefault
noteNo
pageNo
siteNo
as_ofNo
errorNo
savedNo
scoreNo
stateNo
marketNo
periodNo
ratingNo
reasonNo
sampleNo
blockedNo
checkedNo
missingNo
partialNo
summaryNo
languageNo
rate_pctNo
availableNo
checked_atNo
data_statusNo
next_actionNo
evidence_idsNo
checks_passedNo
site_requiredNo
workspace_urlNo
failing_checksNo
sites_in_accountNo
untrusted_fieldsNo
automatic_site_checkNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already cover the safety profile (readOnlyHint, idempotentHint, destructiveHint=false, openWorldHint=false), so the bar is lower. The description adds some useful framing about what the payload contains and that fixes are keyed to failing checks, but says nothing about freshness, staleness, or whether a check must exist before it can be read.

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?

A single sentence that front-loads what the agent gets back, with no filler. It is a fragment rather than a sentence with an explicit verb, which is a minor structural weakness but costs no clarity.

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?

With an output schema present, the return values need not be spelled out, and the annotations plus a fully documented schema cover the rest. The one remaining gap is the absent explicit contrast with run_site_check, which matters in a sibling list that also contains run_ai_measurement and get_site_audit.

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 description coverage is 100% and both parameters are fully documented, including the multi-site requirement and cursor paging. The description only says 'of your site', adding nothing the schema does not already state, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the specific resource (the latest AI readability check of your site) and its payload (checks passed k of n, the score, per-check fix guidance). The word 'latest' implicitly separates it from run_site_check, which starts a new check, but the sibling is never named, so differentiation is left to inference.

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?

Usage is only implied: 'the latest ... check' suggests reading an existing result rather than triggering a fresh run. There is no explicit statement of when to call this instead of run_site_check, nor any mention of prerequisites such as whether a check must have been run first.

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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