Skip to main content
Glama

fcs_stratify

Recomputes the Pareto dominance partial order over three ordinal sub-criteria to verify whether it reproduces the eight strata from document IV §3. Adjustable τ cuts alter the ordering.

Instructions

Recompute the partial order by Pareto dominance over the three ordinal sub-criteria, and report whether it reproduces the eight strata published in document IV §3. The τ ordinalisation is exposed as a parameter: the default cuts the range's lower bound at 10⁻¹ s — the conscious-episode window the document names — then at 10⁰ s. Changing it changes the order, which is the point of declaring it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tauCutsLog10NoAscending decimal-exponent cuts on the τ range's lower bound. Default [-1, 0].

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.1.0

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the transparency burden. It discloses that the tool recomputes, reports a yes/no-style reproducibility result, and that the τ cuts alter the resulting order. It stops short of explicitly stating whether state is mutated or describing the output format, but the analysis-oriented wording makes the behavior understandable.

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 sentences carry the full purpose, the scientific context, the default behavior, and the parameter rationale. No filler; the most important information is front-loaded.

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 one-optional-parameter tool with no output schema, the description is nearly complete: it states what is computed, what is reported, and the meaning/effect of the only parameter. The only real gap is the precise return structure, but the prose indicates a reproducibility verdict.

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 coverage is 100% and the schema already defines tauCutsLog10 as ascending decimal-exponent cuts defaulting to [-1, 0]. The description adds real value by mapping those cuts to 10⁻¹ s and 10⁰ s, naming the conscious-episode window, and explaining why changing the parameter is meaningful.

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 names a precise action and resource: recompute the partial order by Pareto dominance over the three ordinal sub-criteria and report whether it reproduces the eight strata from document IV §3. This is specific and distinguishes fcs_stratify from sibling tools like fcs_compare or fcs_conformance.

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 description conveys that the default τ cuts reproduce the published window and that changing the parameter changes the order, which is the point of exposing it. It implies a validation/sensitivity use case but never explicitly says when to prefer this tool over a sibling or when not to call it.

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