Contract Testing: Check PactFlow AI Entitlements

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

Annotations already establish that the tool is read-only, idempotent, and non-destructive. The description adds useful behavioral context about diagnosing account limitations and retrieving entitlement/credit status, but it does not describe the exact response shape or how the underlying PactFlow API behaves. No contradiction with annotations exists.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The opening sentence is concise and front-loads the core purpose. However, the five enumerated use cases largely restate the same trigger conditions in slightly different wording, making the description more repetitive than necessary. It is not excessively long, but it could be tightened.

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

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

For a simple, zero-parameter, read-only diagnostic tool, the description adequately explains what the tool does, when to invoke it, and what information it retrieves (entitlement status and credit balance). It does not specify the exact return format, but the intended use and outputs are clear enough for an agent to call it appropriately.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters and the schema has full coverage, so there are no parameter semantics for the description to clarify. Per the rubric baseline for zero-parameter tools, a 4 is appropriate; the description makes no misleading parameter claims.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb ('Check') and a precise resource ('PactFlow AI entitlements and credit balance'), and ties it to concrete troubleshooting scenarios like 401 Unauthorized errors and credit/permission issues. This clearly differentiates it from the many unrelated sibling tool names in the contract-testing family.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly states when to use the tool: after encountering 401 Unauthorized errors, permission denied errors, insufficient credits, or other PactFlow AI access issues. It provides clear contextual triggers and enumerates use cases, though it does not explicitly mention when not to use it or name alternative tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.