timeseries_partition

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

No annotations are present, so the description carries the full burden. It only says 'Recommend' without disclosing read-only status, side effects, required permissions, or output format. The tool's actual behavior beyond the verb remains opaque.

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, non-redundant sentence. It is efficiently worded and front-loaded, though it lacks any additional structure or detail. It is concise but not overly terse to the point of meaninglessness.

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 output schema and no parameter explanation, the description gives insufficient context. An agent cannot tell what input to provide or what kind of output to expect from a 'recommendation,' making the tool difficult to use correctly in practice.

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 0%, and the description does not mention the 'schema' or 'database_name' parameters at all. The agent has no clue how these affect the recommendation or how to use them, leaving the parameters functionally undocumented.

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 specific action ('Recommend partitioning strategies') and a clear resource scope ('time-series entity tables'). It distinguishes itself from sibling tools like 'list_partitions' which actually lists partitions, while this one provides recommendations.

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 guidance is provided on when to use this tool versus alternatives. There is no mention of prerequisites, exclusions, or scenarios where this should be preferred over other partition-related tools.

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