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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false. The description adds a hint about the body being optional and matching what the app sends after connecting, which provides some context about input, but it doesn't describe return format, errors, or other behavioral traits. Since annotations cover safety, a score of 3 is appropriate.

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 extremely concise (two sentences), directly states the purpose, and front-loads the key information. No wasted words.

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?

Given the tool returns glucose data, the description omits critical details like whether authentication is required, how to obtain data (e.g., filters, time ranges), and what the output looks like. There is no output schema, so the description must explain more, but it only gives a cryptic hint about the body. The description is inadequate for a tool that likely serves as a data integration point.

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 schema has one optional 'body' object with arbitrary properties and 0% coverage in the description. The description adds meaning by indicating the body should match what the app sends after connecting, which helps the agent understand the expected structure. However, this is vague and doesn't provide concrete details on the body's contents, so it partially compensates for the schema's openness.

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 it returns glucose data from LibreView (Libre), which is a specific resource. It distinguishes from siblings like dietai_sibionics_data by naming Libre, but it doesn't specify what kind of glucose data (historical, real-time) or the exact scope.

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 after connecting ('após conectar') but gives no explicit guidance on when to use this tool vs alternatives, no prerequisites like authentication, and no exclusions. The connection is implied but not stated clearly.

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