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SigRank — AI Operator Benchmarking

Operator Signature — Portable Identity Object

operator_signature
Read-onlyIdempotent

Computes a normalized operating signature from 4 token pillars or a codename. Returns a signature code, a legacy six-label signature_label, dominant trait, and closest comparable operators from the live board. The deprecated archetype field is retained as a compatibility alias; these labels are not the 10-type Build Archetypes reference extension.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputNo
outputNo
windowNo30d
codenameNoOperator codename (alternative to pillars)
cache_readNo
cache_writeNo

TDQS

B3.1/5.0
Behavior4/5

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

Annotations already cover read-only, idempotent, non-destructive behavior. The description adds meaningful context: normalized output, the deprecated archetype field retained as a compatibility alias, and the clarification about Build Archetypes. No contradiction with annotations.

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?

The description is three sentences, front-loaded with the operation and return values, followed by a useful caveat about the deprecated field. It is economical with no filler, though it could have used one sentence to map the schema parameters.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema and parameter coverage is low, so the description must carry more weight. It lists return fields, but it does not specify how to choose pillars versus codename, what window does, how cache parameters work, or how this differs from similar sibling tools. An agent would likely need to guess or open other tools to invoke this correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is only 17% (only codename has a description). The description mentions '4 token pillars or a codename' but never maps the four pillars to input, output, cache_read, and cache_write, and it does not explain the window parameter. It provides high-level framing but leaves actual parameter semantics ambiguous.

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?

The description uses a specific verb ('Computes') and resource ('normalized operating signature') and enumerates the return fields. However, it doesn't explicitly distinguish the tool from siblings like who_operates_like_me or get_sigrank_standard_record, and 'closest comparable operators' could overlap with who_operates_like_me.

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 offers no explicit when-to-use guidance or named alternatives. It notes two input modes (pillars or codename) and a negative semantic boundary ('not the 10-type Build Archetypes reference extension'), but an agent choosing among 15 sibling tools gets little operational direction.

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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TDQS

B3.4/5.0
Disambiguation2/5

Several tools have significantly overlapping purposes: benchmark_me and compare_to_field both compare a user's cascade to the field, operator_signature and who_operates_like_me both find comparable operators, and rank_paste/rank_windows overlap as metric calculators. Descriptions clarify the output format, but an agent would frequently struggle to pick the right tool.

Naming Consistency3/5

All names are lowercase snake_case, which is readable, but the pattern is mixed: get_leaderboard and simulate_change are verb-first, field_anomaly and operator_gap are noun-first, and rank_if, rank_paste, benchmark_me, and who_operates_like_me break the convention entirely. There is a loose semantic system, but no strong predictable verb_noun pattern.

Tool Count3/5

16 tools sits right at the heavy borderline, and the count feels inflated by overlapping tools that could be consolidated. The domain is broad enough to justify more than a handful of tools, but the duplication makes the set feel heavier than its actual functional surface.

Completeness4/5

The tool set covers the core benchmarking workflow well: reading leaderboard/operator data, computing metrics, comparing to the field, diagnosing weaknesses, simulating changes, and suggesting improvements. There are minor gaps, such as no way to retrieve a user's raw token pillars from a codename for simulation tools that require four pillars, but these are workable.