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Engine status and latency

server_status
Read-onlyIdempotent

Check model server readiness, loaded checkpoints, cache size, and latency percentiles to verify Laya System-1 is prepared for automated decisions.

Instructions

Readiness, loaded checkpoints, cache size and latency percentiles.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
readyYes
deviceNo
countersNo
requestsNo
latenciesNo
load_errorNo
cache_entriesNo
models_loadedNo
models_requestedNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

B3.4/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true, idempotentHint=true and openWorldHint=false, so the safety and side-effect profile is fully covered by structured data. The description contributes only a list of data categories, which is largely redundant with the output schema and adds no fresh behavioral context such as freshness, cost, or anything about the readiness semantics.

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 short phrase with no filler, and the most decision-relevant item (readiness) is front-loaded. It is slightly under-structured as a bare noun list with no verb, but nothing is wasted.

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 zero parameters, an output schema covering return values, and annotations covering safety, the only remaining burden on the description is context, which the short content list supplies adequately. It could say a little more about what 'readiness' means, but nothing essential to calling the tool 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 tool takes zero parameters, so per the rubric the baseline is 4. There is nothing for the description to disambiguate, and the empty schema is self-explanatory.

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 fragment enumerates exactly what the tool exposes (readiness, loaded checkpoints, cache size, latency percentiles), which is specific to a status/inspection resource and clearly separable from the decision-oriented siblings. It lacks an explicit verb like 'returns' or 'reports', so it reads as a content list rather than a stated action, but the resource is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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

There is no when-to-use guidance, no statement of when an agent should check server status versus calling preload_warmup or the decide_* tools, and no prerequisites or exclusions. The agent must infer the usage context entirely from the tool name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.