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Glama

discover_phones

Scan your tailnet to identify Android devices running the client app and verify they respond on the bridge port for potential control.

Instructions

Look for phones on your tailnet that are running the client app.

Finds Android devices on the tailnet and checks whether each answers on the bridge port. A phone found here still needs its pairing token before it can be driven - read that from the Android Use app on the phone itself.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations provided, the description carries the behavioral disclosure burden. It explains the discovery mechanism, the bridge-port check, and the important caveat that a discovered phone still needs its pairing token before it can be driven. This adds meaningful behavioral context beyond simply restating the tool name.

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?

The description is compact and well-structured: it opens with the primary action, then adds the technical detail, and ends with the crucial prerequisite. Every sentence earns its place with no redundancy.

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?

For a zero-parameter discovery tool with an output schema, the description covers the essential context: what is discovered, how discovery is validated, and what further action is required. Nothing important is missing for an agent to invoke it correctly.

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 has zero parameters, so the baseline is 4. The description correctly focuses on the tool's behavior rather than inventing parameter guidance, and no parameter clarification is needed.

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 specific verbs ('Look for', 'Finds', 'checks') and a concrete resource: Android devices on the tailnet running the client app and answering on the bridge port. This clearly distinguishes it from generic device-listing tools such as list_devices.

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

Usage Guidelines4/5

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

The description provides clear context for when to use the tool: when you need to find phones on the tailnet that are running the client app. It does not explicitly name alternative tools or exclusions, but the intended use case is evident.

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