Training Style

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is covered. The description adds two genuinely useful facts beyond the annotations: the endpoint path and the cost (10 credits, Tier 1). It does not, however, say anything about how the chart inputs drive the answer or what the '3 tips' contain. The POST endpoint listed alongside readOnlyHint is worth noting but is consistent with a compute-style call rather than a data mutation.

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?

Everything is front-loaded and compact: one line of purpose followed by a bracketed metadata block with no filler sentences. It is terse to the point of under-specification, but there is no wasted text to trim.

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?

An output schema exists, so return values need not be explained. But for a 13-parameter, 4-required calculation with 23% schema description coverage, a single sentence plus cost and endpoint lines leaves the agent without enough to invoke it confidently or to distinguish it from other pet tools.

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 only 23% across 13 parameters, so the description should compensate but does not. It lists required: date, time, latitude, longitude, which the schema already encodes in its 'required' array, and says nothing about the ten optional parameters (ayanamsa, zodiacType, houseSystem, timezone, city, name, cosmogram, etc.) that materially change the result.

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 the output ('Preferred training style + 3 tips'), which is a specific deliverable, but gives no verb about how the result is produced and no differentiation from the cluster of sibling pet tools such as astroway_pet_play_style, astroway_pet_temperament or astroway_pet_personality. An agent can guess this is a pet-behavior reading, but cannot tell why it would choose this over its near neighbours.

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?

There is no when-to-use or when-not-to-use guidance, no mention of alternatives, and no note on how it differs from the other pet astrology endpoints. The bracketed metadata (Group, Endpoint, Required, Cost) is operational information, not usage guidance.

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