getAnalyticsReasonsSeries

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

No annotations provided, so description must fully disclose behavior. The description lacks details on read-only nature, rate limits, authentication, or aggregation intervals—only states it retrieves time-series statistics.

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?

Single sentence is efficient and front-loaded with purpose. No extraneous words, but could benefit from slight structuring for readability.

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 output schema exists (not shown but present) and schema fully documents parameters, the description is fairly complete for a simple retrieval tool. It explains what the tool returns (block reasons time-series) and for what purpose (charting). Could mention default time range or intervals.

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 has 100% coverage describing profile_id, from, and to. Description adds no further semantics beyond stating the tool returns time-series statistics, which is baseline for high schema coverage.

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?

Description has specific verb 'Retrieves' and resource 'time-series statistics about why queries were blocked for charting', clearly distinguishing from sibling tools like getAnalyticsReasons (non-time-series) and other series tools.

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?

No explicit when-to-use or when-not, but the tool name and description imply it should be used for time-series block reason data; there are no alternatives mentioned or exclusions.

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