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

The description adds one meaningful behavioral disclosure: 'No identifiers are retained,' which informs the agent about privacy and data handling. However, with no annotations provided, the description carries the full burden of behavioral disclosure and does not state whether the operation is read-only, whether any external calls are made, or what side effects might occur.

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 concise at two sentences, front-loaded with the primary purpose and followed by a relevant privacy note. There is no wasted wording, though the brevity leaves other dimensions under-specified.

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?

With no annotations, no output schema, and a terse description, the agent cannot determine what the classification output looks like, what input combination to provide, or how the four unrelated parameters are used. The description lacks sufficient context for correct invocation, especially given the presence of multiple sibling tools with overlapping input domains.

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 all four parameters adequately. The description adds no parameter-specific meaning beyond that, which meets the baseline but does not enrich the agent's understanding of how each parameter factors into the classification.

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 states a clear verb and resource: 'Show how this request is classified.' However, it does not explain what 'classified' means or what classification dimensions are involved, and it does not differentiate from the sibling tools (e.g., validate-json, normalize-url). The connection between the tool name 'compatibility' and 'classified' is also left unexplained.

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?

There is no guidance on when to use this tool versus the sibling tools, and no conditions or exclusions are given. The phrase 'Show how this request is classified' implies a classification use case, but it is vague and does not clarify which of the four heterogeneous parameters (url, host, json, zone) constitutes 'this request' or when each is appropriate.

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