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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, and the description's 'Query' wording is consistent with those. It adds useful behavioral context about the returned data, such as KEV summary, vendor-stated successor, and provenance. No contradiction with 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?

The description is front-loaded with the resource and scope, then efficiently covers filter options, result content, and a usage example. Each sentence adds value and there is no filler.

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-only tool with all-optional parameters and an output schema, the description provides enough scope, filtering guidance, result-content expectations, and a canonical use case for an agent to select and invoke it correctly.

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 the schema already documents the model, status, and platform parameters. The description restates filtering by platform/vendor/status/model and the BOD 26-02 status vocabulary, but adds little genuinely new semantic meaning beyond the schema.

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 clearly identifies a specific verb and resource: 'Query the EOS Edge Device Intelligence feed' with a well-scoped subject of edge-device end-of-support status in CISA BOD 26-02 vocabulary. It does not explicitly contrast with sibling tools such as check_eol or get_upcoming_eol, so it lacks full sibling differentiation.

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?

It provides an explicit canonical use case: 'which of our edge devices are past support or expire within 12 months?' and names the filter dimensions. It does not state when not to use the tool or reference alternatives, but the use-case framing gives clear context.

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