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moxiespirit

OathScore

get_score

Retrieve quality ratings for financial APIs, providing composite scores (0-100), letter grades, and component breakdowns to assess data source reliability.

Instructions

Get OathScore quality rating for a specific API. Available APIs: curistat, alphavantage, polygon, finnhub, twelvedata, eodhd, fmp. Returns composite score (0-100), letter grade, and component breakdown.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_nameYes

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 what the tool returns (composite score, letter grade, component breakdown) but lacks critical details: whether this is a read-only operation, any authentication or rate limits, error conditions, or how the score is calculated. For a tool with no annotation coverage, this leaves significant behavioral gaps.

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 appropriately sized and front-loaded, with the core purpose in the first sentence and additional details (available APIs, return values) following efficiently. Every sentence adds value, though it could be slightly more structured (e.g., separating API list from return details).

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 one parameter with 0% schema coverage and an output schema (which handles return values), the description is moderately complete. It covers the parameter's semantics and output structure but lacks behavioral context (e.g., permissions, errors). For a simple lookup tool, this is adequate but not thorough.

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?

Schema description coverage is 0%, so the schema provides no parameter documentation. The description adds value by listing available API names (curistat, alphavantage, etc.), which clarifies the 'api_name' parameter's expected values. However, it doesn't explain parameter format, constraints, or examples beyond this list, leaving some semantic gaps.

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: 'Get OathScore quality rating for a specific API' with a specific verb ('Get'), resource ('OathScore quality rating'), and scope ('for a specific API'). It distinguishes from siblings by focusing on scoring rather than health checks, comparisons, alerts, events, exchanges, time, or volatility. However, it doesn't explicitly contrast with sibling names beyond listing available APIs.

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 like 'compare_apis' or 'check_health'. It lists available APIs but doesn't specify prerequisites, exclusions, or contextual triggers for selecting this tool over siblings. Usage is implied only by the purpose statement.

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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