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Glama

list_remote_filesystem

Lists directories and files in a TI-Nspire calculator's internal Flash memory via NavNet, so AI agents can inspect remote filesystem paths like / or /PyLib before transferring or managing files.

Instructions

Lee el árbol de directorios interno de la memoria Flash de la calculadora TI-Nspire mediante el servicio NavNet 0x4060.

:param directory: Directorio remoto a consultar (ej. '/', '/PyLib', '/MyLib').

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_remote_filesystem"
  }
}

Input Schema

NameRequiredDescriptionDefault
directoryNo/

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral load. It does disclose that the operation is a read ('Lee') over a specific protocol service (0x4060), which signals non-destructiveness, but it omits connection/auth prerequisites, pagination or size limits, and error behavior for invalid paths.

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?

Two short, front-loaded sentences: purpose first, parameter semantics second, with zero filler. The protocol identifier is compactly embedded rather than padding the text.

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 single-parameter tool with a default and an output schema (so return values need no explanation), the core is covered. However, absent any annotations, the definition should have said more about connection requirements and failure modes to be fully self-sufficient.

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?

Schema description coverage is 0%, so the description is the only source of parameter meaning, and it delivers: 'directory' is the remote directory to query with concrete examples ('/', '/PyLib', '/MyLib'). It stops short of stating path syntax rules (trailing slash, case sensitivity, max depth), so not a 5.

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?

States a specific verb ('Lee') and resource ('árbol de directorios interno de la memoria Flash de la calculadora TI-Nspire'), plus the underlying NavNet service 0x4060. An agent can tell this is a filesystem-listing tool, distinct from the conversion/creation siblings, though it never names an alternative explicitly.

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?

Usage is only implied: an agent infers you call this to explore the calculator's flash storage. There is no explicit when-to-use, no mention of prerequisites (device connected, NavNet service running), and no statement about what to do if the directory does not exist.

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