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

Annotations already declare readOnly, non-destructive, and non-open-world, so the safety profile is covered. The description adds useful content-shape context (source tracking indicates synthetic vs production-reproduction origin) but says nothing about auth needs, rate limits, or behavior beyond the annotations.

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?

Two sentences, front-loaded with what is retrieved and what is returned, with no filler. Slightly dense but every clause carries information.

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 read tool with no output schema, the description adequately signals what is returned (scenarios, source tracking, baseline scores) and the annotations carry the safety profile. Auth and response-shape specifics remain thin, but nothing critical for correct invocation is missing.

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?

Schema description coverage is 100%, so both agentId and the superadmin-restricted customerId are already documented in the schema. The description adds no syntax, format, or constraint detail beyond that baseline.

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?

States a specific verb (Get) and resource (regression test suite for an agent), then enumerates the payload contents (scenario details, source tracking, baseline scores). It implicitly separates itself from add_regression_scenarios and regression_test by being the read path, but no sibling is named explicitly.

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?

"Use this to understand what scenarios guard against regressions during optimization" gives a clear when-to-use context, but offers no exclusions or named alternatives (e.g. vs regression_test or get_production_test).

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