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set_preferences

Change Cisco Packet Tracer preferences by name, such as enabling port labels or auto-cabling, and receive all preferences after the update.

Instructions

Change Packet Tracer preferences by name, for example { "values": { "show_port_labels": true } }. Returns every preference afterwards.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
valuesYesPreferences to change, for example `{ "show_port_labels": true, "disable_auto_cabling": true }`. `get_preferences` lists every name.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
valuesYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.2

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, and openWorldHint=false, so the mutation/safety profile is covered. The description adds one useful behavioral detail ('Returns every preference afterwards'), but says nothing about persistence, session scope, or whether changes are reversible.

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?

Two short sentences with the action and an inline example up front, then the return behavior. Nothing is wasted and it is easily parsed.

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 single-parameter mutation with full schema coverage and an output schema, the description is nearly sufficient: action, payload shape, and post-condition are all present. Only the when-to-use framing against get_preferences is missing.

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

Parameters3/5

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

Schema description coverage is 100% and the nested 'values' object is fully documented in the schema (including the get_preferences pointer for valid names). The description's payload example matches but adds no meaning beyond the schema, so the baseline of 3 applies.

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 and resource ('Change Packet Tracer preferences by name') and gives a concrete payload example, so an agent knows exactly what it does. It does not explicitly name get_preferences as the read-facing counterpart, so sibling differentiation comes only from the schema.

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 'by name' phrasing and the example imply this is the write side of a get/set pair, and the schema points to get_preferences for the list of valid names. However, the description itself offers no explicit when-to-use condition, prerequisites, or exclusion relative to get_preferences.

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