Locus product guide · Updated
How to Evaluate AI Agent Tools and API Providers
Evaluate an agent tool by whether it returns useful data for a representative task, respects the expected request and response contract, and records the correct charge. Compare coverage, latency, price basis, access requirements, and recovery behavior. A catalog listing, successful connection, or HTTP success code alone does not establish task quality.
What does a catalog listing tell me about a tool?
A listing tells you the provider and its tier, not whether a given operation fits your task. The Locus catalog separates reviewed providers, marketplace listings, and live-quoted external services. The total count mixes these tiers, so not every entry has the same review status or guarantees.
Check the specific operation, input schema, data source, geographic or time coverage, and pricing basis. Some services need valid identifiers. Others return a subset of results or an asynchronous job. A known provider name does not replace that check.
How do I decide whether a tool result is good enough?
Write down what success looks like before you run the request. For company enrichment, require the right company and the fields your workflow needs. For extraction, compare the output with a known page. For code execution, check stdout, stderr, exit status, and resource limits. Use non-sensitive test inputs you may send to the provider.
Include at least one known-positive request and one that should return no match or a validation error. This separates a working integration from one that returns empty output for everything.
- Result relevance and required fields
- Supported filters, geography, and freshness
- Latency measured through the intended access path
- Actual charge and unit basis
- Behavior for empty results, errors, and retries
How do I estimate what a task will cost?
Total the final receipts for every call in the task, not one sample call. A tool may bill by request, token, page, generation, returned record, or live quote, and one task can need several calls. Include any released or retained charge.
Price examples in docs are explanations, not quotes. Read current pricing through the catalog and authorization flow. For live-quoted operations, set a maximum charge ceiling before dispatch.
Is a sandbox test enough before rollout?
No. Sandbox tests check your parsing, attribution, and billing-state handling without spending credits or calling a provider. They cannot show the provider has the data or behavior you need today. Test the real paid path before customer rollout.
Keep a dated record of the environment, operation, expected result, observed result, and charge. Repeat the checks when your inputs, the provider contract, the operation schema, or the pricing basis changes. Publish benchmarks only when the method and evidence support them.
Frequently asked questions
Does a verified provider label cover every marketplace tool?
No. Reviewed provider listings and marketplace services are distinct catalog tiers. Inspect the individual listing and operation rather than applying one label to the total catalog.
What is a useful first acceptance test?
Make a small authorized request with a known-positive input through the intended interface, assert the required useful result, and inspect the actual recorded charge and attribution.
Implementation references
Use these first-party references for current request contracts and account requirements. Tool availability, prices, and negotiated terms can change.
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