ticktick_get_task_analytics

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, indicating a safe, repeatable read operation. The description adds value by specifying the analytics content ('priority distribution, due date analysis, and tag usage'), which helps the agent understand what data to expect. However, it doesn't disclose behavioral traits like rate limits, authentication needs, or response format beyond what annotations cover.

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 and well-structured: a clear purpose statement followed by a bullet-like list of analytics types. Every sentence earns its place with no wasted words. It's front-loaded with the main action and efficiently specifies the scope.

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's low complexity (0 input fields, annotations covering safety, and an output schema exists), the description is reasonably complete. It explains what analytics are returned, which complements the output schema. However, it could be more complete by mentioning the data scope (e.g., all tasks vs. filtered) or typical use cases, though the output schema likely handles return values.

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 input schema has 1 parameter with 0% description coverage, but the parameter is an empty object (no actual input fields). The description doesn't need to explain parameters since there are none to document. It appropriately focuses on the tool's output semantics. Baseline for 0 parameters is 4, as the description compensates by detailing what analytics are provided.

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 the tool's purpose with 'Get detailed task analytics' and specifies the types of analytics provided ('priority distribution, due date analysis, and tag usage'). It distinguishes from siblings like 'get_completed_tasks' or 'get_overview' by focusing on analytics rather than raw task data. However, it doesn't explicitly differentiate from 'get_weekly_report' or 'get_productivity_score', which might also provide analytical insights.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, context (e.g., for planning vs. reporting), or compare it to siblings like 'get_weekly_report' or 'get_overview'. The agent must infer usage based on the name and description alone, with no explicit when/when-not instructions.

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