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Kiln

Kiln

by codeofaxel
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python

analyze_print_snapshot

Read-only

Evaluates a webcam snapshot's brightness, variance, resolution, and format to confirm whether it is usable for print monitoring.

Instructions

Analyze a webcam snapshot for print monitoring quality.

Checks image brightness, variance, resolution, and format to determine
if the snapshot is usable for print monitoring.

Args:
    file_path: Path to the snapshot image file.

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": {
      "file_path": "<file_path>"
    },
    "name": "analyze_print_snapshot"
  }
}

Input Schema

NameRequiredDescriptionDefault
file_pathYesPath to the snapshot image file.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.5.1
    • addedInput schema / properties / file_path / description
      Added value: +"Path to the snapshot image file."
  2. First observedv0.1.0

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds useful behavioral detail by naming the four quality dimensions inspected, but says nothing about thresholds, failure modes, or what happens with an unreadable file.

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?

Front-loaded with the purpose and the checks in two tight sentences. The Args block duplicates the schema and is the only wasted space, but overall it is well sized for a one-parameter tool.

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?

With no output schema, the description carries the burden of explaining the return value, and it only vaguely says it determines 'usable' without describing the result shape (boolean, score, per-check breakdown). For a diagnostic tool whose whole value is its verdict, that is a meaningful gap.

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 single parameter is fully documented in the schema; the description's Args block merely restates it verbatim. No additional meaning (accepted formats, relative vs absolute paths, size limits) is contributed.

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 ('Analyze a webcam snapshot') and enumerates the checks performed (brightness, variance, resolution, format). It is clear what the tool does, though it never distinguishes itself from nearby siblings like analyze_print_file, printer_snapshot, or monitor_print_vision.

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 phrase 'to determine if the snapshot is usable for print monitoring' implies the context of use, but there is no explicit when-to-use, when-not-to-use, or named alternative. An agent must infer that this is a pre-flight validation step rather than a live monitoring call.

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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