A useful MCP tool contract is smaller than an API catalog
4 min readEnterprise data and AI leaders
Sravan Modugula · Chief Data & AI Officer, dotSolved Inc; creator of Nexatron
A useful MCP tool contract names a business or analytical operation that can be described precisely. Exposing hundreds of raw API operations can overwhelm the consumer and expand the review surface. Start with a small set of bounded tasks whose inputs, permissions, outputs, and failure states are understandable to both implementers and users.
One tool should have an understandable purpose
For example, a tool to retrieve an approved metric for a period is easier to reason about than a generic tool that accepts arbitrary queries against every connected system. The appropriate level of abstraction depends on the application, but the contract should make consequential choices explicit. The assistant should not have to guess which hidden side effects accompany an innocent-looking request.
Specify inputs for validation
Use constrained fields for dates, identifiers, filters, and limits where the operation permits it. Explain required combinations and reject invalid requests before contacting the source. A descriptive tool schema helps the model choose arguments, while server-side validation remains necessary because model output and user input are untrusted.
Distinguish a missing value from a default. If an omitted period means the current fiscal quarter, that convention should be documented and visible in the result. Defaults that affect business meaning deserve special attention. A caller should be able to determine what was actually executed rather than inferring it from a friendly tool description.
Return facts with scope
A result should identify the relevant source, period, population, and coverage alongside its values. Include clear distinctions between no matching records, incomplete retrieval, denied access, and an unavailable dependency. Those conditions require different user responses and should not collapse into an empty array that the assistant may misinterpret.
Keep narrative interpretation separate from machine-readable facts when practical. This allows the consumer to validate the result and present an explanation without losing the contract. Avoid including credentials, unnecessary personal information, or internal debugging details. The tool's output is part of the information available to the assistant and should be designed accordingly.
Describe side effects honestly
Read operations and state-changing operations need distinct treatment. A write tool should make its intended effect, target scope, confirmation requirements, and failure behavior clear. Do not rely solely on an annotation to enforce safety; the service must check the required authority and conditions before making the change.
Think through retry behavior. If a request times out after the source changed, a blind retry can duplicate an action. The contract should explain how the caller determines completion or safely retries the specific operation. This issue is less visible in a successful demonstration but central to whether the tool can be operated responsibly.
Version the contract deliberately
Changing a field's meaning can break a consumer even when its name stays the same. Preserve compatibility where possible and document meaningful changes. Keep contract tests that cover representative inputs and failure states. A model prompt should not be the only place where assumptions about the tool's behavior are recorded.
For a custom Nexatron-related integration, review the proposed tool against the existing supported surface before adding another abstraction. Review the proposed inputs and failure examples with the source owner before implementing the adapter, so the business meaning is settled early. The objective is a small, reviewable contract that helps an assistant perform an authorized task and gives the operating team enough evidence to understand what happened when the task fails.
Make examples part of the contract
Include a valid request, an invalid request, an empty result, and a permission failure in the documentation. These examples help implementers and reviewers agree on behavior before a model is involved. Keep them synthetic and consistent with the schema. When the contract changes, update the examples and tests together so the written reference does not describe an interface the service no longer provides.
Examples should describe expected behavior rather than accidentally introducing undocumented exceptions to the schema.
Bring three business questions
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