AI Arena Service Status
ai_arena_statusCheck AI Arena version, free-beta mode and available pricing tiers.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
ai_arena_statusCheck AI Arena version, free-beta mode and available pricing tiers.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true and destructiveHint=false, so the safety profile is fully covered externally. The description adds only the informational payload (free-beta flag, pricing tiers) and says nothing about auth, rate limits, or whether the beta flag affects behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded sentence with no filler. The most useful information (what fields are returned) comes immediately after the verb+resource.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description correctly compensates by naming the three values an agent will get back. It stops short of describing the response shape or format, but for a trivial zero-param status call that omission is minor.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so per the rubric the baseline is 4. There is nothing for the description to clarify beyond confirming this is a no-argument lookup, which the empty schema already conveys.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb ('Check') and resource ('AI Arena') and enumerates the concrete pieces of information returned: version, free-beta mode, and pricing tiers. Sibling tools are all unrelated SEC/tender/award tools, so no differentiation is needed. Slightly short of 5 only because 'Check' is a generic verb.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit when-to-use statement, no prerequisites, and no alternatives named. However, for a zero-parameter status endpoint the intended usage (query current service/version/pricing state) is strongly implied by the name and description. Minimum-viable guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.