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suggest_activity

Read-only

Returns a context-appropriate outdoor activity filtered by weather, temperature, and sunset time. Use after deciding to nudge the user for a concrete suggestion.

Instructions

Read-only. Returns a single context-appropriate outdoor activity (e.g., '☀️ short walk', '🌅 catch the sunset') filtered by current weather, temperature, and time until sunset. Picks deterministically per call from a small curated list — calls in quick succession may return the same suggestion.

Side effects: internally calls check_grass_conditions, so the same outbound HTTPS calls (ip-api, open-meteo) and the same 24h location cache write apply. No streak mutation. No auth required.

When to use: after you've decided to nudge the user — gives you something concrete to suggest instead of a vague 'go outside'.

When NOT to use: don't call before deciding to nudge (wasted network round-trip). Don't re-suggest an activity the user already declined this session — the tool has no memory of prior suggestions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

Beyond annotations (readOnlyHint=true), the description reveals internal side effects: it calls check_grass_conditions, triggering HTTPS calls and cache writes. It also notes determinism and potential repetition in quick succession.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with front-loaded purpose, side effects, and usage rules. Every sentence adds value without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (no params, no output schema), the description fully covers inputs, behavior, side effects, and usage context, leaving no gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

No parameters exist, but the description explains the implicit inputs (weather, temperature, sunset) and the deterministic behavior, adding value beyond the empty schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool returns a single context-appropriate outdoor activity filtered by weather, temperature, and sunset time. It distinguishes from siblings like check_grass_conditions, get_stats, and log_touch_grass.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit guidance is provided: when to use (after deciding to nudge) and when not to use (before deciding, or re-suggesting declined activities). This helps the agent decide correctly.

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

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