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thincms_test_ai_connection

Send a test prompt to verify your AI provider's key and model work together. Returns confirmation with provider, model, and sample response.

Instructions

Round-trip a 1-token prompt to the configured AI provider to confirm the key + model combination works. Returns provider, model, and a tiny sample reply. Admin-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
siteIdNoOverride the active site for this single call. Pass to target a specific tenant without mutating shared active-site state — the right pattern when running concurrent agent sessions managing different tenants. Must match a siteId from your THINCMS_SITES config (use thincms_list_sites to inspect). When omitted, the call uses the active site set by thincms_switch_site.
confirmProductionWriteNoAcknowledge that this call may write to a configured production site (THINCMS_PRODUCTION_SITE_IDS env var). Required for any POST/PUT/PATCH/DELETE against a production-listed site; ignored otherwise. The error message lists which site triggered the requirement and recommends thincms_snapshot before any production write.
Behavior4/5

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

With no annotations, the description carries the full burden. It explains the tool sends a 1-token prompt and returns a reply, indicating a test call. It does not explicitly state it is read-only or safe to call repeatedly, but the nature of a 'test' implies no side effects. Minor lack of explicit safety statement.

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, immediately states the action ('Round-trip a 1-token prompt'), and includes key outcomes and constraints. No redundant information.

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?

The description covers what the tool does, returns, and who can use it. It does not mention the parameters, but the schema fully describes them. For a simple test tool, this is complete enough.

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 have detailed descriptions. The tool description adds no extra meaning beyond what is already in the input schema. Baseline score of 3 is appropriate.

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 'round-trips a 1-token prompt to confirm the key + model combination works' and specifies it returns provider, model, and sample reply. It is distinct from any sibling tools, which are all data operations, making its purpose unique 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 Guidelines4/5

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

The description implies usage for testing AI provider configuration after setup or when troubleshooting. 'Admin-only' provides a usage constraint. No explicit alternatives are given, but no sibling serves a similar function, so the guidance is sufficient.

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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