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shigechika

io.github.shigechika/aruba-central-mcp

by shigechika

daily_brief

Run a morning access point health check across all sites, flagging any site with an offline AP ratio above a threshold. Returns a Markdown summary of site-level AP counts and anomalies.

Instructions

Run a morning AP health check across all sites.

Fetches all access points and aggregates their online/offline status by site. Sites whose offline AP ratio is strictly greater than offline_threshold percent are flagged as WARNING (uses >, so a site with exactly offline_threshold % offline is still OK).

Args: offline_threshold: Percentage of offline APs that triggers a WARNING (default 10.0). Sites at or below this threshold appear in the OK section. Pass 0.0 to flag any site with at least one offline AP.

Output tiers:

  • CRITICAL — API connection failure

  • WARNING — offline AP ratio strictly above threshold

  • OK — offline ratio at or below threshold

Returns a Markdown summary with site-level AP counts and anomaly details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
offline_thresholdNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description carries the burden. It explains the strict threshold logic, output tiers (CRITICAL, WARNING, OK), and return format (Markdown). It does not mention side effects, but as a read-only aggregate, no destructive behavior is expected. Missing explicit read-only declaration, but sufficient transparency.

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 well-structured with clear sections for args and output tiers. It is front-loaded with purpose and provides necessary detail without excess. Every sentence adds value.

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?

Given the tool's simplicity (one parameter, output schema present), the description covers purpose, parameter semantics, output tiers, and return format. It is complete for effective use.

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

Parameters5/5

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

Schema coverage is 0%, so description must explain the parameter. It does so thoroughly: defines offline_threshold, default 10.0, explains the '>' comparison, and gives example 0.0. No other parameters exist, so full coverage.

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 clearly states the tool runs a morning AP health check across all sites, specifying verb and resource. It distinguishes from siblings like 'health_check' (likely broader) and 'list_aps' (no aggregation). Output tiers further clarify purpose.

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 implies use for routine health checks, but lacks explicit instructions on when to use versus siblings. However, the context of 'morning health check' and aggregated output provides clear usage context.

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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