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moxiespirit

OathScore

compare_apis

Compare API quality scores side-by-side to evaluate data source reliability for AI trading decisions. Pass comma-separated API names for analysis.

Instructions

Compare quality scores of two or more APIs side-by-side. Pass comma-separated names, e.g. 'curistat,polygon'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
apisYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool compares quality scores but doesn't reveal critical traits: what 'quality scores' entail (e.g., metrics, scale), whether it's read-only or has side effects, authentication needs, rate limits, or error handling. This leaves significant gaps in understanding the tool's behavior and safety.

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 highly concise and front-loaded, with two sentences that directly convey the tool's function and input format. Every word earns its place—no fluff or redundancy—making it easy for an agent to parse quickly and understand the core intent without unnecessary detail.

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

Completeness3/5

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

Given the tool's moderate complexity (comparing multiple APIs) and the presence of an output schema (which likely covers return values), the description is minimally adequate. It explains the basic operation and input but lacks context on quality score definitions, comparison methodology, and behavioral traits. With no annotations, it doesn't fully compensate for these gaps, though the output schema may help mitigate some incompleteness.

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 description adds some meaning beyond the input schema, which has 0% coverage. It explains that the 'apis' parameter should be 'comma-separated names' and provides an example ('curistat,polygon'), clarifying the expected format. However, it doesn't detail semantics like valid API names, constraints (e.g., minimum/maximum count), or how the comparison is performed, leaving the schema's single parameter partially documented.

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 states the tool's purpose: 'Compare quality scores of two or more APIs side-by-side.' It specifies the verb ('compare') and resource ('quality scores of APIs'), making the function unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'get_score', which might retrieve individual scores, leaving room for minor ambiguity.

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 provides no guidance on when to use this tool versus alternatives. It mentions the input format ('comma-separated names') but doesn't explain scenarios where comparison is needed over individual checks (e.g., 'get_score') or how it relates to other siblings like 'check_health'. Without usage context or exclusions, the agent lacks direction for tool selection.

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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