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Tool Quality Rankings

platform.quality.rankings
Read-onlyIdempotent

Rank tools by quality metrics: uptime, latency, or error rate. Filter by category to find reliable APIs for your use case.

Instructions

Get ranked list of tools by quality — sort by uptime (most reliable), latency (fastest), or error_rate (fewest errors). Filter by category (e.g. "crypto", "weather"). Discover the best tools for your use case. Free, no charge (APIbase)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNoSort by: "uptime" (highest availability), "latency" (fastest p50), or "error_rate" (lowest errors). Default: "uptime"uptime
limitNoMax number of tools to return (1-100). Default: 20
categoryNoFilter by tool category prefix (e.g. "crypto", "weather", "finance")

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
Behavior3/5

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

Annotations already cover readOnlyHint, destructiveHint, idempotentHint. The description adds that the tool is free, which is useful. No additional behavioral traits like rate limits or pagination are disclosed, but the safety profile is clear from 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 concise with two sentences. The purpose is front-loaded. The inclusion of pricing info ('Free, no charge') is somewhat extraneous but does not detract from clarity.

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?

Given the output schema exists, the description does not need to explain return values. It adequately covers purpose, sorting, and filtering. However, it could mention that the result is a list and that it is ranked, which is implied.

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?

Since schema description coverage is 100%, the description adds minimal value beyond the schema. It mentions sort options and category filtering, which are already detailed in the schema. Baseline 3 is appropriate.

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 the tool retrieves a ranked list of tools by quality, with specific sort options (uptime, latency, error_rate) and filtering by category. This distinguishes it from sibling tools like platform.quality.tool, which likely provides individual tool quality.

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

Usage Guidelines3/5

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

The description implies usage for discovering best tools but does not explicitly state when to use this tool vs alternatives, such as platform.quality.tool. No guidance on when not to use it is provided.

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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