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Alpha-Park

genpark-audio-packet-jitter-resilience-buffer-skill

get_jitter_telemetry

Retrieve real-time jitter metrics to diagnose packet delay variation and tune adaptive audio buffering for stable playout in volatile networks.

Instructions

get jitter telemetry

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.1

TDQS

D1.9/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing: not the data source, time window, sampling behavior, or whether it is a read-only operation. 'get' weakly implies a read but that is inference, not disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three words, front-loaded but purely a name echo. This is under-specification rather than earned conciseness — nothing in the sentence adds information.

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

Completeness2/5

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

A parameterless tool with no output schema has a low structural bar, but the description still says nothing about what telemetry is returned or how it relates to the sibling simulation and ingestion tools. The agent is left to guess at the tool's role.

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 schema has zero parameters, so there are no parameter semantics to document; per the baseline rule a parameterless tool lands at 4. No additional detail in the description could compensate for anything here.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'get jitter telemetry' merely restates the tool name verbatim with no added scope, no verb specificity beyond 'get', and no distinction from siblings like run_benchmark_jitter_simulation. An agent cannot tell what the telemetry covers or how it differs from the simulation tool.

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

Usage Guidelines1/5

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

There is no when-to-use or when-not-to-use guidance at all. Nothing tells the agent whether to call this instead of run_benchmark_jitter_simulation or how the two relate.

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