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

Annotations already declare readOnlyHint=true and idempotentHint=true, providing a safety profile. The description adds useful context by clarifying that the tool returns schema metadata (fields, geometry, count, capabilities) rather than data, which is a meaningful behavioral trait. No contradictions with annotations exist.

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 a single, front-loaded sentence that efficiently lists the tool's purpose and outputs. Every word earns its place, with no redundancy or irrelevant detail.

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 one-parameter, read-only tool with no output schema, the description is quite complete: it specifies the input (URL), the operation (get schema), and the expected output contents. The lack of explicit usage guidance is a minor gap but is already covered under usage guidelines.

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% with a clear description of the 'url' parameter. The description's mention of 'by url' aligns with the schema without adding new semantics. Baseline 3 applies as the schema does the heavy lifting.

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 states it retrieves an ArcGIS Feature/Map Service layer's schema by URL, listing specific outputs: fields (name + type), geometry type, total record count, and capabilities. This specific verb+resource combination distinguishes it from sibling tools like query_layer, which imply data retrieval rather than schema inspection.

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 implies usage by focusing on schema retrieval via URL, but it does not explicitly state when to use this tool vs alternatives such as query_layer. There is no mention of exclusions or when-not-to-use, so the guidance is implied rather than explicit.

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