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load_target_info

Load and validate the target from .env to confirm authorization, ensuring only the authorized machine is evaluated.

Instructions

Carga y valida el objetivo unico desde .env, confirmando autorizacion.

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

A3.5/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does communicate that the tool reads from .env, validates the target, and checks authorization. However, it does not state whether the operation is read-only, what happens if validation or authorization fails, or whether there are side effects, leaving meaningful gaps.

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 a single efficient sentence with the main action front-loaded ('Carga y valida') followed by the source and validation purpose. There is no filler or redundancy—every clause earns its place.

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

Completeness4/5

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

For a zero-parameter tool with an output schema, the description covers the essential function: source, validation, and authorization. The output schema likely handles return-value details, so the description adequately supports invocation. Minor omissions like error behavior and timing are secondary given the tool's low complexity.

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 input schema has zero parameters and 100% schema coverage is trivially satisfied. Per the baseline for zero-parameter tools, the description adds meaning by clarifying that the target is sourced from .env and that validation and authorization checks occur, which the empty schema cannot convey.

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?

The description uses a specific verb phrase 'Carga y valida' (loads and validates) with a clear resource 'objetivo único desde .env' (unique target from .env), plus the purpose of confirming authorization. This makes the tool's function unmistakable. It does not explicitly contrast with siblings like check_environment or scan_network, but the resource/action combination is specific enough to stand apart.

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 about when to use this tool versus any alternative. The description only states what it does, without mentioning prerequisites, typical invocation context, or exclusions. An agent must infer the appropriate use case from the tool name and sibling context.

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