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site_status
Read-only

How a site is doing: whether it is being served and how its build ended.

`project` is an id or a slug. One call instead of three (project,
deploys, live check of the address): an agent needs the conclusion, not
the raw material to assemble it from.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectYesПроект: слаг (`my-site`) или id. Слаг — то, что видно в адресе сайта; если пользователь назвал сайт словами, возьми слаг из `my_projects`.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
projectYes
servingYes
http_codeYes
last_errorYes
next_actionYes
last_deploy_stageYes
last_deploy_statusYes

TDQS

A4.3/5.0
Behavior4/5

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

Annotations provide readOnlyHint=true, and the description adds behavioral context beyond that by explaining the tool aggregates project info, deploys, and live address checks into a single conclusion. This gives the agent insight into the tool's consolidated nature without contradicting the read-only annotation.

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 sentences: the first front-loads the core purpose, the second succinctly explains the parameter and the benefit of a consolidated call. Every sentence earns its place with no redundant wording.

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?

With one parameter, full schema coverage, an output schema, and a readOnly annotation, the description provides all necessary context for an agent to select and invoke the tool. It even cross-references my_projects for slug resolution, making it self-sufficient.

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 a detailed parameter description for 'project' (id/slug, how to obtain slug from my_projects). The description repeats the id/slug point but does not add new meaning beyond the schema, so it meets the baseline but does not exceed it.

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 reports site status ('whether it is being served and how its build ended') and distinguishes itself from more granular sibling tools by consolidating three separate calls (project, deploys, live check) into one. The first sentence is a specific verb+resource combination.

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 frames usage: 'One call instead of three... an agent needs the conclusion, not the raw material to assemble it from.' This tells the agent when to use the tool (when a high-level status summary is needed) but does not name specific alternative tools or state when not to use it, so it lacks full exclusion guidance.

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

A3.7/5.0
Disambiguation3/5

Most tools are distinct, but there's real confusion risk between the deploy-related set (cancel_deploy, retry_deploy, deploy_logs, diagnose_deploy) and the site-inspection set (site_status, read_site, site_issues, site_screenshot) where purposes overlap. compose_landing vs compose_landing_submit are differentiated mostly by an obscure note rather than naming. Several tools address similar concepts (landing composition, publishing, deploy) making agent misselection plausible.

Naming Consistency3/5

Most tools use a clean verb_noun pattern (list_deploys, connect_domain, check_domain, publish_landing, read_site, rollback). However, conventions are mixed: some use compose/x/check/y (check_copy, check_domain, check_performance) while others use site_x (site_status, site_analytics, site_issues, site_screenshot) with inconsistent ordering. Descriptions mix English and Russian heavily, though that's content not naming.

Tool Count4/5

27 tools is a large but arguably justified surface for a full site-building/deploying/monitoring platform spanning composition, domain management, deploys, performance, analytics, and environment configuration. It sits slightly above what feels tight, but each tool has a defined role in the overall workflow.

Completeness4/5

The surface covers the full landing lifecycle: compose, publish, deploy, monitor, rollback, diagnose, and connect external resources (domain, analytics, integrations). Minor gaps: no explicit tool for site deletion/teardown, only read_site for editing with refactor_site being narrow, and no way to update an existing landing's text beyond refactor. Still, core CRUD and operational flows are covered.

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