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Alpha-Park

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

run_benchmark_jitter_simulation

Simulate packet jitter and loss to benchmark adaptive audio buffering, helping tune real-time voice playout for volatile networks.

Instructions

run benchmark jitter simulation

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.1

TDQS

C2.1/5.0
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 burden of behavioral disclosure, and it discloses nothing. It does not say whether the simulation mutates state, what inputs it consumes given zero parameters, how long it runs, or what side effects it produces. The generic verb 'run' gives no behavioral signal.

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

Conciseness3/5

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

The description is a single short phrase and thus not bloated, which is its only merit. However, that brevity reflects under-specification rather than disciplined concision, since no useful content was trimmed to achieve it.

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

Completeness1/5

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

For a simulation tool with no annotations and no output schema, the description should explain what the benchmark does and what it returns. It supplies none of this, leaving the agent unable to predict behavior or results.

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 there is nothing for the description to add. Per the rubric, a zero-parameter tool establishes a baseline of 4 on this dimension.

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 merely restates the tool name verbatim ('run benchmark jitter simulation'), adding no scope, output, or distinguishing detail. It does not differentiate this tool from siblings like get_jitter_telemetry, which also concerns jitter. This is a tautology rather than a clarified purpose.

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 guidance on when to use this tool versus alternatives such as get_jitter_telemetry or extract_playout_frame. No preconditions, exclusions, or triggering context are stated. The agent is left to infer usage entirely from the name.

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