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get setup status

get_setup_status
Read-onlyIdempotent

See your workspace, logging state, traffic and grade counts, judge calibration progress, and the next required setup action in one API call. Also validates API key and reveals its workspace.

Instructions

Answer 'where am I and what should I do next?' in one call — workspace identity, logging state, traffic and grade counts, judge calibration progress, and the single dependency-ordered next step; also the cheapest way to check that an API key is live and which workspace it belongs to. GET /v1/setup/status (API-key scope: read). Returns: JSON (camelCase keys — this route does NOT snake-case): { workspace: { slug, name }, logging: { enabled: boolean, retentionDays: integer }, traffic: { loggedConversations: integer|null (null = log store unreachable, NOT zero traffic) }, grades: { total, neededToCalibrate (grades still short of the 30 required) }, judges: { total, calibrated, trustworthy, failGradesNeeded: integer|null }, next: { action: 'enable_logging'|'send_traffic'|'grade'|'create_judge'|'calibrate'|'grade_failures'|'recalibrate'|'compare', detail: string, href: string (dashboard path) } }. With request header Accept: text/plain the same data is returned as flat snake_case key=value lines (e.g. grades_total=12, next_action=grade), one per line. Notes: Never cached (Cache-Control: no-store). A 200 proves the key is valid; 401 otherwise. Field casing differs from every other /v1 route (camelCase in JSON, snake_case only in the text/plain form).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Install Server

TDQS

A4.6/5.0
Behavior5/5

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

The description significantly expands beyond annotations by disclosing Cache-Control: no-store, 200/401 semantics, the camelCase vs snake_case discrepancy with every other /v1 route, the meaning of null in loggedConversations, and the Accept: text/plain behavior. None of this contradicts the readOnly/idempotent/openWorld annotations.

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?

The description is long but dense and front-loaded with a clear purpose statement before diving into the endpoint and response details. Every sentence carries substantive information (null semantics, casing, cache behavior, auth meaning, header variant). Only minor redundancy: the casing difference is highlighted twice, but the second mention adds cross-route context, so it earns its place.

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 no output schema and no parameters, the description bears the full burden of explaining return values and behavior. It fully specifies the JSON shape with field types, nested objects, enum values for next.action, null semantics, the text/plain alternative, and success/error meaning — nothing an agent needs to invoke or interpret this tool correctly is missing.

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?

The input schema is empty (0 parameters), so the baseline is 4. The description adds value by documenting the optional Accept: text/plain header that switches the output format to flat snake_case key=value lines, and example like grades_total=12, next_action=grade.

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 opens with a specific and memorable purpose: 'Answer where am I and what should I do next?' and enumerates the exact resources covered (workspace identity, logging state, traffic counts, grade counts, judge calibration, next step). It distinguishes itself from sibling action-tools by presenting a one-call status/setup overview rather than a mutation or query of a specific resource.

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 gives clear usage context: it is the 'cheapest way to check that an API key is live and which workspace it belongs to', and is the one-call for setup status. It does no explicit name alternatives or exclusions, but the usage intent is unambiguous and sufficient for an agent to select it over the many sibling tools.

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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