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run_buffer_tradeoff

Buffer Tradeoff experiment — sweep a buffer's capacity from 50 → 10,000 units, measure throughput gain. Shows the diminishing-returns elbow for buffer sizing. Only defined on bs4-ct and bs4-leds; each chapter has THREE inline buffers with different placements (pass buffer id to pick one). Compare CT vs LEDS on the same slot to see why interrupt-detail level changes buffer ROI math (e.g. b3: CT +23.7% vs LEDS +64.2%). Use when the user asks 'how big should the buffer be?' / 'do buffers help on this line?' / 'which buffer position gives the most gain?' / 'what's the diminishing-returns point?'. ANTI-FABRICATION (CRITICAL): the specific tradeoff numbers (e.g. CT +23.7% vs LEDS +64.2%) are sweep-derived reference values. Quote VERBATIM in your reply; do NOT recall similar percentages from training data — every buffer position has different math.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bufferNoBuffer id to sweep. The Buffer-Options Constraint-Level model has `b3` (Buffer 1, between Capper↔Labeler), `b4` (Buffer 2, between Labeler↔Case Packer), `b5` (Buffer 3, between Case Packer↔Palletizer). The Buffer-Options LEDS model has `b2` (Buffer Option 1, earliest), `b3` (Buffer Option 2, middle), `b4` (Buffer Option 3, last). Defaults to b3 if omitted — but pick the buffer that matches the question (e.g. 'the first inline buffer' = b3 on CT, b2 on LEDS).b3
chapterNoChapter id. Only `bs4-ct` and `bs4-leds` have buffer tradeoffs defined.bs4-ct

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / chapter / enum
      Previous value: -[
-  "bs1-ct",
-  "bs2-ct",
-  "bs3-ct",
-  "bs4-ct",
-  "bs1-leds",
-  "bs2-leds",
-  "bs3-leds",
-  "bs4-leds"
-]New value: +[
+  "bs1-ct",
+  "bs2-ct",
+  "bs3-ct",
+  "bs4-ct",
+  "bs1-leds",
+  "bs2-leds",
+  "bs3-leds",
+  "bs4-leds",
+  "cmp-buffer-reliability",
+  "cmp-shared-palletizer"
+]
  2. First observed

TDQS

A4.9/5.0
Behavior5/5

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

With no annotations provided, the description carries the full burden and does so well: it discloses the sweep range, the measured output, the chapter limitation, and a critical anti-fabrication rule that tradeoff numbers are sweep-derived reference values to quote verbatim. This is especially valuable for preventing hallucinated percentages.

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 dense but every sentence earns its place: action, scope, comparison pattern, trigger questions, and critical warning. The anti-fabrication note is appropriately emphasized and placed at the end where it reinforces the output handling without distracting from the core purpose.

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?

For a two-parameter tool with no output schema, the description tells the agent what the sweep does, what it returns (throughput gain/percentages), which chapters support it, and how to handle the returned numbers. An agent has enough context to select and invoke the tool correctly.

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?

Schema description coverage is 100%, so the baseline is 3. The description adds useful context beyond the schema by explaining that the buffer id selects among three inline buffers with different placements and gives a concrete CT vs LEDS example (b3) to anchor the parameter's meaning.

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 opens with a clear verb and resource: 'sweep a buffer's capacity from 50 → 10,000 units, measure throughput gain.' It names the specific output ('diminishing-returns elbow') and the scope ('Only defined on bs4-ct and bs4-leds'), making it easy to distinguish from generic chapter tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It provides explicit trigger phrasings ('how big should the buffer be?', 'do buffers help on this line?', 'which buffer position gives the most gain?', 'what's the diminishing-returns point?') and a clear scope exclusion: 'Only defined on bs4-ct and bs4-leds.' This gives the agent both when-to-use and when-not-to-use signals.

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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