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lookupTool

Read-onlyIdempotent

Resolve a tool name, slug, domain, or package to its Pickrate report (Pick Rate, rank, who beats it).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch term: name, slug, domain, or package.

TDQS

A4/5.0
Behavior3/5

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

Annotations (readOnlyHint=true, idempotentHint=true, destructiveHint=false) already provide the safety profile. The description adds useful context about the report contents (Pick Rate, rank, who beats it), which goes beyond annotations. However, it does not disclose resolution behavior (e.g., what happens on ambiguity or no match), so it meets but does not exceed the baseline for annotation-covered tools.

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 a single sentence, front-loaded with the verb 'Resolve,' and contains no extraneous words. Every part earns its place, including the parenthetical listing of report contents.

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 tool with one parameter, no output schema, and rich annotations, the description clearly states what the tool does, what inputs it accepts, and what the output contains. It lacks edge-case details (e.g., error handling, multiple results), but given the low complexity, the description is largely sufficient.

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?

The single parameter 'query' is fully described in the schema ('Search term: name, slug, domain, or package'), and the description repeats these exact types. Since schema coverage is 100%, the description adds no additional meaning beyond what the schema already provides, staying at the baseline.

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 clearly states a specific action ('Resolve') and a specific resource (tool name, slug, domain, or package) to a defined output (Pickrate report with Pick Rate, rank, who beats it). This differentiates it from siblings like getLeaderboard or getPickRate by framing it as a resolution/lookup tool rather than a direct query.

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

Usage Guidelines4/5

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

The description clearly implies when to use it: when you have a tool identifier (name, slug, domain, package) and want its Pickrate report. It does not explicitly mention alternatives or exclusions (e.g., using getPickRate for just the rate), but the context is clear enough for an agent to select this tool over siblings.

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

A4.1/5.0
Disambiguation3/5

getPickRate and lookupTool both return Pick Rate and rank for a tool, differing mainly in identifier resolution; this boundary could confuse agents. Other tools are clearly distinct in purpose.

Naming Consistency4/5

All tools follow a camelCase pattern, but most start with 'get' while one uses 'lookup', a minor inconsistency that doesn't harm readability.

Tool Count5/5

Four tools cover the core use cases of viewing leaderboards, querying a tool's rate, resolving identifiers, and accessing personal analytics without excess.

Completeness4/5

The surface covers main query types for Pickrate data, though lacks methods for comparative or historical analytics, which are likely out of scope.

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