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SunrisesIllNeverSee

Systems Intelligence Performative Commercial Benchmarking

get_composite_score

Read-only

Retrieve a developmental composite score (0-100) for an operator from normalized metrics weighted by leverage, yield, token_snr, and construction. Benchmark against reference percentiles.

Instructions

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.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
operator_idYesPseudonymous operator ID (e.g., op_001, op_003, op_034)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
labelYes
scoreYes
caveatsNo
score_idNo
syntheticYes
componentsYes
operator_idYes
Behavior5/5

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

The readOnlyHint annotation already signals a safe read operation, and the description goes further by disclosing the computation method (raw metrics normalized via reference percentiles), the exact component weights, and the fact that data is synthetic. This is strong behavioral context beyond the annotation.

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 compact and front-loaded: the core purpose and scale come first, followed by computation details and caveats. Every sentence adds meaningful information without redundancy.

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 single-parameter read-only tool with an output schema present, the description covers the scoring domain, input identification, weighting components, and data caveat. Nothing critical for correct invocation appears missing.

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 coverage is 100% with a clear description and example for operator_id, so the baseline is 3. The description adds that the score is computed for an operator, but does not provide new parameter-level semantics beyond what the schema already states.

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 specific verb ('Get'), resource ('developmental composite score'), scope ('for an operator'), and scale (0-100). It also distinguishes itself from personnel-related metrics and provides the component weights, making the tool's purpose unambiguous even without consulting siblings.

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

Usage Guidelines2/5

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

The description does not explicitly state when to use this tool versus alternatives like get_composite_score_summary or compare_operator_to_reference. The 'Labeled DEVELOPMENTAL, not PERSONNEL' line hints at appropriate use, but there is no explicit routing guidance or exclusion criteria.

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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