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bypixels

SEO MCP PRO

by bypixels

monitor_response_time

Measure website response time by running multiple samples. Obtain individual measurements and summary statistics to identify performance issues and monitor server speed.

Instructions

Measure response time with multiple samples. Returns individual measurements and statistics.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL to measure
samplesNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description must carry the behavioral disclosure burden. It reveals that the tool performs multiple samples and returns both individual measurements and statistics, which is useful. However, it does not mention that this likely involves repeated outbound HTTP requests, potential latency, or any side effects beyond measuring.

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?

Two short sentences with no filler, repetition, or redundancy. The primary action is front-loaded, and the return information is placed second. Every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple two-parameter measurement tool, the description is reasonably complete, but the absence of an output schema makes the vague phrase 'statistics' insufficient. The agent does not know whether statistics mean average, min, max, percentiles, or the units of measurement. More detail would help the agent interpret the result without needing to invoke the tool blindly.

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 50%, with only 'url' described in the schema. The description adds some context for 'samples' via 'multiple samples' and clarifies the return shape, but it does not explain units, sample count behavior, or how individual measurements are formatted. It partially compensates for the missing schema description but does not fully define parameter semantics.

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 uses a specific verb ('Measure') and resource ('response time') and adds the key qualifier 'with multiple samples', which clearly distinguishes this from sibling monitoring tools like monitor_check_uptime, monitor_dns_lookup, and monitor_certificate. It also states what the tool returns, so the agent knows what to expect.

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?

No guidance is provided about when to use this tool versus alternatives. With sibling tools such as monitor_check_uptime and security_ssl_analyze, an agent gets no explicit selection criteria, no exclusions, and no mention of complementary 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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