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SigRank — AI Operator Benchmarking

Compare to Field — You vs Field vs Top 10% vs Top 1%

compare_to_field
Read-onlyIdempotent

Creates a 'YOU vs FIELD vs TOP 10% vs TOP 1%' comparison table for your cascade metrics. Takes 4 pillars or a codename, fetches the live leaderboard, and returns your metrics alongside field median, top quartile, top decile, and top percentile for yield, leverage, velocity, and SNR. Simple, useful, and immediately understandable.

Input Schema

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

TDQS

B3/5.0
Behavior4/5

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

The description adds behavior beyond the annotations by stating it 'fetches the live leaderboard' and returns a structured comparison with medians and percentiles. This is consistent with readOnlyHint=true, idempotentHint=true, and destructiveHint=false, and there is no contradiction. It doesn't cover caching or rate limits, but for a read-only idempotent tool this is reasonable context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The first two sentences are informative and front-loaded with the tool's purpose and mechanics. The final sentence, 'Simple, useful, and immediately understandable,' is subjective filler that does not help an agent select or call the tool. It is concise overall, but not every sentence earns its place.

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?

With six parameters, no required fields, low schema coverage, and no output schema, the description carries a large burden. It does list the returned percentile fields, but leaves five parameters largely unexplained and never clarifies how the '4 pillars' map to the actual schema fields. An agent would likely struggle to construct a valid call without additional documentation.

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 description coverage is only 17% (only codename is described). The description mentions '4 pillars or a codename,' which loosely corresponds to the four numeric parameters and codename, but it never explains what input, output, cache_read, cache_write, or window mean. This fails to compensate for the extremely low schema coverage and leaves the numeric parameters 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 clearly identifies a specific action and resource: it creates a 'YOU vs FIELD vs TOP 10% vs TOP 1%' comparison table for cascade metrics. It also lists the exact output dimensions (yield, leverage, velocity, SNR) and reference percentiles. However, it does not explicitly distinguish itself from overlapping sibling tools like benchmark_me or operator_gap, so it falls short of a perfect score.

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?

There is no explicit guidance on when to use this tool versus the many sibling tools with similar benchmarking/comparison purposes (benchmark_me, operator_gap, get_leaderboard, who_operates_like_me). The phrase 'Takes 4 pillars or a codename' describes input format, not selection criteria, and no alternative tools are named or contrasted.

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.