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SunrisesIllNeverSee

Systems Intelligence Performative Commercial Benchmarking

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
MCP_URLYesRemote MCP server URL

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{}
resources
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
get_pilot_statusA

Get pilot status overview — cohort size, observation count, date range, data quality, active interventions. Computed from raw observations. Data is from a 50-operator synthetic pilot (labeled synthetic).

get_operator_profileA

Get operator profile — operator details, measurements (5 canonical metrics computed from raw token observations with values, percentiles, status), and benchmark availability. Operator IDs are pseudonymous (e.g., op_001). Data is synthetic.

get_cohort_distributionA

Get cohort metric distribution — min, p10, p25, median, p75, p90, max, mean, std, and outliers for a given metric across the 50-operator cohort. Computed from raw observations.

get_composite_scoreA

Get developmental composite score (0-100) for an operator. Computed from raw metrics normalized via reference percentiles. Labeled DEVELOPMENTAL, not PERSONNEL. Weighted: leverage 30%, yield 30%, token_snr 20%, construction 20%. Data is synthetic.

get_composite_score_summaryA

Get cohort composite score summary — count, min, max, median, mean, Q1, Q3. Computed from per-operator scores. No individual rankings exposed. Label is DEVELOPMENTAL.

get_diagnosticsA

Get operator diagnostics — pattern detections and diagnoses computed from divergence analysis. All diagnoses are HYPOTHESIS, never fact.

get_data_qualityA

Get data quality summary — completeness, coverage, validity across the cohort. Computed from raw observations.

find_usage_operation_divergenceA

Find operators with usage-operation divergence. Computes usage percentile from raw token totals and compares to yield percentile. Returns all 50 operators with divergence class (LOW_USAGE_HIGH_OPERATION, HIGH_USAGE_LOW_OPERATION, etc.).

get_workflow_fitA

Get workflow fit analysis — operator/workflow fit scores across workflow stages.

get_intervention_statusA

Get all interventions — 12 active interventions with operator IDs, catalog IDs, reason patterns, target metrics, start dates, followup periods, and synthetic outcomes.

list_pilot_optionsA

List available pilot options — 5 canonical metrics, 15 eval families, 13 benchmark classes, 5 intervention types.

validate_pilot_configurationA

Validate a pilot configuration before deployment. Returns valid status with warnings and errors.

compare_operator_to_referenceA

Compare an operator to a reference population. Returns benchmark selection, comparison group, and metric comparison. Computed from raw metrics and reference field.

get_executive_dashboardA

Get executive dashboard info — the dashboard is a self-contained HTML file generated by the CLI (enterprise export dashboard --output file.html).

verify_changeA

Verify a measured change after intervention — pre/post comparison. Results are ASSOCIATION, never CAUSATION.

create_pilot_configurationC

Generate a pilot configuration from parameters.

assign_interventionA

Assign a targeted intervention to an operator. REQUIRES AUTHORIZATION. Contact pilots@mos2es.org for pilot access.

close_interventionB

Close an intervention with outcome notes. REQUIRES AUTHORIZATION.

create_experimentB

Create an experiment configuration. REQUIRES AUTHORIZATION.

record_workflow_observationB

Record a workflow fit observation. REQUIRES AUTHORIZATION.

attach_outcome_datasetA

Attach external outcome dataset for join analysis. Outcome joins are ASSOCIATION, never CAUSATION. REQUIRES AUTHORIZATION.

get_operator_system_decompositionA

Two-way ANOVA-style decomposition partitioning metric variance into operator effect, system effect, and operator×system interaction. Computed from raw observations grouped by platform. Shows whether operator capability or system choice drives performance.

get_lineage_chainA

Get the full lineage chain for an operator: STATE_A → BI_ACTION → AAI_TRANSFORMATION → BI_REDIRECTION → AAI_EXTENSION → COMMITTED_STATE → OUTCOME. Built from raw lineage and outcome data.

get_lineage_summaryA

Get lineage summary across the cohort — total lineages, workflow breakdown, average micro-eval metrics, outcomes linked. Computed from raw lineage data.

get_outcome_correlationA

Correlate micro-eval metrics with outcome quality scores and cycle times through lineage. Computed via Pearson r from raw lineage + outcome data. Results labeled ASSOCIATION with evidence grade OBSERVATIONAL, never CAUSATION.

get_org_topologyA

Organization-level AI topology map — team-level metric distributions, median canonical metrics per team, capability concentration (Gini coefficient), platform adoption, single-point-of-failure detection, cross-team complementarity. Computed from raw measurements.

get_operator_similarityA

Nearest-neighbor operator search using percentile-rank normalization and Euclidean distance across 5 canonical metrics. Computed from raw measurements. Returns comparable operators/cohorts, NOT personality matching.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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