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execute

Routes API calls to optimal services based on capability, cost constraints, and region, returning results with metadata on service used, cost, and latency.

Instructions

Route to the best service and execute the API call. Returns result with metadata (service used, cost, latency).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
capabilityYesWhat you need, e.g. 'geocoding', 'translation'
inputYesService-specific input (e.g. { query: 'Berlin' } for geocoding, { text: 'Hello', target: 'de' } for translation)
constraintNoCost constraint: 'free' = only free services, 'cheapest' = prefer lowest cost, 'any' = best overallany
regionNoPreferred region, e.g. 'eu', 'us'. Omit for global.
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions that the tool returns 'result with metadata (service used, cost, latency)', which adds some behavioral context. However, it lacks details on permissions, rate limits, error handling, or side effects, which are important for a tool that executes API calls and routes services.

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 very concise and front-loaded: it states the core purpose in the first clause and adds return details in parentheses. Every sentence earns its place with no wasted words, making it efficient and well-structured.

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 complexity (executes API calls with routing) and lack of annotations/output schema, the description is moderately complete. It covers the purpose and return metadata, but gaps remain in behavioral details and usage guidelines. It's adequate but has clear room for improvement in context.

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 100%, so the schema already documents all parameters. The description adds no additional meaning beyond what the schema provides (e.g., it doesn't explain parameter interactions or usage examples). Baseline is 3 when schema coverage is high and description doesn't compensate.

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: 'Route to the best service and execute the API call.' It specifies the action (route and execute) and resource (API call), but doesn't distinguish it from sibling tools like 'categories' or 'compare' which have different purposes. The description is specific but lacks sibling differentiation.

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 doesn't mention sibling tools or other contexts, and offers no explicit when/when-not scenarios. Usage is implied (e.g., for API calls with routing), but no clear alternatives or exclusions are stated.

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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