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SiteCheck Agent Intel & Dev

Agent Intel Api Sla Liveness Benchmark

agent_intel_api_sla_liveness_benchmark
Read-only

Liveness and latency of one public HTTPS endpoint, measured from this server: three GET requests, returning each HTTP status and the time to the response headers, the median and the worst time, and an UP/DEGRADED/DOWN level. One location only: it does not test other regions, and it does not measure the TLS handshake on its own. Price: $0.001 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesPublic https:// endpoint address

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNo
noteNo
levelNo
sourceNo
samplesNo
worstMsNo
medianMsNo
checkedAtNo
successfulSamplesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior5/5

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

Beyond the readOnly/openWorld annotations, the description discloses the measurement protocol (three GET requests), the returned level semantics, a clear coverage limitation (single vantage point, no standalone TLS handshake timing), and the billing model ($0.001 USDC via x402, failed calls free). This is exactly the operational context an agent needs before spending money.

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?

Three compact sentences, front-loaded with what is measured and what comes back, then limitations, then cost. Every clause carries decision-relevant information with no filler.

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?

The tool is simple (one param, output schema present), and the description still covers measurement method, output shape, scope limits, and pricing. An agent has everything needed to call it and interpret the cost.

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?

Only one parameter, and the schema already documents it at 100% coverage ('Public https:// endpoint address'). The description adds no further constraints on the URL (e.g., scheme restrictions, redirect handling, private-address rejection), so it does not improve on the schema.

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 description names a precise verb and resource (measure liveness and latency of one public HTTPS endpoint) and specifies the method: three GET requests returning statuses, response-header times, median/worst, and an UP/DEGRADED/DOWN level. It is highly specific, but it does not explicitly contrast itself with the closest sibling, agent_intel_x402_endpoint_health_vetting, so an agent must infer the boundary.

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

Usage Guidelines3/5

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

Usage is implied by the stated scope ('one location only', 'does not test other regions', 'does not measure the TLS handshake on its own'), which tells the agent what the tool will not do. However, there is no explicit when-to-use framing or named alternative (e.g., a TLS/cert tool or a multi-region check), so selection guidance is only partial.

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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