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vHal MCP Server

vHal MCP Server

by feevlic
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

summarize_vhal

Get concise summaries of vHAL implementation details from Android documentation based on your questions.

Instructions

Summarize vHAL implementation based on a question.

Args:
    question: Question about vHAL implementation

Returns:
    Summary of relevant vHAL information from Android documentation

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "question": "<question>"
    },
    "name": "summarize_vhal"
  }
}

Input Schema

NameRequiredDescriptionDefault
questionYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It only restates the purpose and return type, without mentioning side effects, limitations, read-only nature, or how the summary is generated. The agent cannot infer whether this is a safe, idempotent lookup or if it has any side effects.

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?

The description is short and front-loaded with the main action, and the Args/Returns structure helps readability. However, the Returns line is largely redundant with the opening sentence, so it could be trimmed further. Overall, it is appropriately concise.

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?

Given the tool sits among seven sibling tools and has only one parameter, the description is under-specified. It does not clarify what qualifies as a useful question, what the output summary looks like, or how it differs from analysis/validation/generation tools. The presence of an output schema reduces some burden, but it is not visible here, and the description fails to offer sufficient guidance.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must compensate, but it only restates the parameter as 'Question about vHAL implementation'. This adds little meaning and no examples, constraints, or formatting details. The description provides only marginal value over the raw schema title.

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?

Clear action verb 'summarize' with target 'vHAL implementation', and it states that it returns relevant information from Android documentation. However, it does not explicitly differentiate from sibling tools like analyze_vhal_implementation or lookup_android_source_code, so it stops short of a 5.

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?

The phrase 'based on a question' implies usage when the agent needs to summarize vHAL details, but there is no explicit guidance on when not to use this tool or how it compares to alternatives. No exclusion criteria or alternative suggestions are provided.

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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