CliDeck MCP — Network Knowledge

Advise Network Upgrade

advise_network_upgrade

Idempotent

Return exact-model, exact-version upgrade prerequisites, risks, checks, and rollback without downloading software. Missing or incomplete knowledge may create or update a tracked research demand. No device commands are executed.

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": {
      "model": "<model>",
      "current_version": "<current_version>",
      "target_version": "<target_version>"
    },
    "name": "advise_network_upgrade"
  }
}

Input Schema

Name	Required	Default
`model`	Yes
`target_version`	Yes
`current_version`	Yes
`enabled_features`	No
`operating_system`	No	IOS XE

Output Schema

Name	Required	Description	Default
`status`	Yes
`rollback`	Yes
`assurance`	Yes
`procedure`	Yes
`limitations`	Yes
`next_action`	Yes
`verification`	Yes
`applicability`	Yes
`prerequisites`	Yes
`reload_expected`	Yes
`breaking_changes`	Yes
`security_advisories`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

First observedSep 30, 2026

TDQS

A4/5.0

Behavior4/5

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

Annotations declare readOnlyHint=false, which would otherwise be puzzling for a read-style advisory tool; the description resolves this by disclosing that missing knowledge 'may create or update a tracked research demand' — a non-obvious side effect. It also asserts 'No device commands are executed', reinforcing the safety profile. No auth or rate-limit detail, but the key hidden side effect is surfaced.

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?

Three short sentences, zero filler, front-loaded with what is returned before the caveats. Each sentence carries distinct information: output, side effect, safety boundary.

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?

An output schema exists, so return-value detail is unnecessary, and the side-effect and safety notes cover the behavioral gap left by annotations. Only the two optional parameters (enabled_features, operating_system) are left unexplained.

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 0% across 5 parameters, so the description must compensate. 'Exact-model, exact-version' usefully signals that model/current_version/target_version are precise identifiers, but enabled_features and operating_system receive no mention at all, leaving half the parameter surface undocumented.

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?

States a specific verb and resource ('Return ... upgrade prerequisites, risks, checks, and rollback') scoped to 'exact-model, exact-version', and explicitly disclaims two things it does not do (no software download, no device commands). This separates it from device-facing siblings like analyze_device_snapshot and from generic lookups like query_network_knowledge.

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 implied by the resource (pre-upgrade planning for a specific model/version pair) but there is no explicit when-to-use statement or named alternative among the 18 siblings. An agent can infer intent but is not routed between this and query_network_knowledge/query_domain_knowledge.

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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