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

Annotations already declare this a safe, idempotent, non-destructive, closed-world read. The description adds freshness semantics ('latest') and the per-bed aggregation grain, which is genuinely useful. It does not discuss staleness window, units, or data-source cadence.

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?

Two short sentences, zero filler, with the return payload front-loaded ahead of the usage hint. Nothing could be removed without losing information.

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, the description must convey the return shape, and it does so compactly (moisture %, temperature, bed names, one entry per bed). For a zero-required-parameter read tool with full annotation coverage, that is nearly sufficient; only units/freshness detail is absent.

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 coverage is 100% and the single optional 'garden' parameter is fully documented in the schema, including its default behavior. The description says nothing about the garden filter, so it adds no meaning beyond the schema — baseline 3 is appropriate.

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?

States a specific verb and resource ('get soil readings') and specifies exactly what comes back: latest soil moisture %, soil temperature, per bed, with bed names. This clearly separates it from weather-oriented siblings like get_current_conditions or get_forecast, though it does not name any sibling explicitly.

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 phrase 'Use for watering/sowing decisions' gives an intended-purpose cue, which is more than nothing, but it offers no when-not guidance and never names an alternative (e.g., get_current_conditions for ambient weather). Usage is implied rather than delimited.

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