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

Beyond the annotations (which already cover readOnly=false, idempotent=true, openWorld=true, destructive=false), the description discloses idempotency semantics (UTC 00:00 daily, completed raw results preserved), failure behavior (remaining steps stop, successes retained), safe handling of unknown outcomes, and an explicit agent policy forbidding unilateral recovery choices. Nothing here contradicts the annotation profile.

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 main action is front-loaded and nearly every sentence carries distinct information (scope exclusions, shared config switch, idempotency, failure semantics, recovery policy). Some clauses ('work_limit counts as already completed and continues to recipes') are compressed to the point of being hard to parse on first read.

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?

For a multi-step, non-read-only routine with no output schema, the description covers failure modes, idempotency, and recovery policy well. It does not describe what the invocation returns, and it references 'work_limit' without defining it or tying it to any schema field, leaving a small explanatory gap.

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?

With 100% schema coverage the schema already documents resolveUnknown thoroughly, so the baseline is 3. The description adds governance meaning on top: it reinforces that the agent must not select a recovery option without the user's explicit decision, which is behavior the schema description only partially captures.

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 names the concrete work: run three garden jobs, fetch the latest 50 recipes, pick the five highest sell_value, and update the ledger. It also carves out scope ('No bait purchase or fishing'), which implicitly separates it from fishing_trip, but it never names or contrasts with farm_brief or recipe_check directly.

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?

'On invocation only' implies this is a manually triggered routine rather than a query, but there is no explicit statement of when to prefer it over farm_brief or recipe_check. The recovery-policy sentence is an operational constraint on the agent, not usage routing between sibling tools.

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

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

Beyond the annotations (readOnly/idempotent/non-destructive), the description discloses non-obvious behavior: overnight pet settlement is unconfirmed, UTC checkedAt is an aggregation basis rather than a simultaneous snapshot, textual countdowns are approximate, maturesIfWateredPlotIds only covers 1–1800-second plots, bee backAt can be null while backInText retains the countdown, unknown jar scent stays unknown, and source failures omit only the affected block. This is unusually rich disclosure for an annotated read tool.

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 core content is front-loaded, but the opening sentence is a single sprawling run-on enumerating nine state categories, which hurts scannability. The following caveat sentences each carry real information, but the overall structure is dense prose rather than cleanly separated blocks.

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 carries the full burden and does so: it describes the returned blocks, the aggregation/timezone caveat, null-field handling, and partial-failure behavior. An agent has enough to know what it will receive and how to interpret edge cases.

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?

The tool takes zero parameters, so there are no argument semantics to explain; the baseline for a no-parameter tool is 4. The description does not need to add parameter meaning and correctly does not attempt to.

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 opens with a specific verb ('Read and compress') and enumerates the exact resource blocks covered (farm, watering, chicken, cabbage-gap, bee-hive, kitchen jars, festival, park, fish). An agent can tell it is a read-only aggregation tool, but it never names the sibling tools (daily_routine, fishing_trip) that overlap in scope, so differentiation relies on inference.

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?

It gives an explicit negative scope: 'never buys bait, fishes, tends pets, opens jars, plays park games or performs garden/bee actions, and never calls inventory list,' which rules out action tools and inventory listing. However it never states the positive 'use this when you need a consolidated status snapshot instead of X' condition, so the trigger is implied rather than stated.

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

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

Annotations only flag destructive/openWorld/non-idempotent, but the description adds far more: no separate purchase confirmation, fixed casting order, empty casts still consume bait/quota, failures halt remaining steps while retaining successes, timeout = UNKNOWN, and no automatic refunds/scheduling. This is rich behavioral context that goes well beyond the annotation flags.

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?

It is long, but front-loaded with 'ACTION TOOL' and organized around preconditions, execution order, failure semantics, and return semantics. Almost every sentence carries actionable detail; a few clauses (e.g., repeated purchase/cast-result wording) could tighten, but the density is justified given there is no output schema.

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 explain returns, and it does: confirmed quantities/costs, EVERY purchase/cast raw result including empty casts and auto fish sales, purchaseTotalsComplete:false meaning (unknown purchases may have spent moon), and that remainingCastCountBefore is pre-execution. It is complete for this complex multi-step action.

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% (each int param already explains omitted=0 and auto-purchase), so baseline is 3. The description adds real value: the Chinese bait names (小面包虫, 月光虫, 星纹蚯蚓, 月华饵, 满月秘饵), the fixed execution order fullmoon→moonhalo→stardust→moonworm→bread, and 'one cast 1 <key> per rod,' which the schema alone does not convey.

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 opens with an explicit verb+resource: 'ACTION TOOL: automatically spends moon to buy missing bait from the shop, then fishes.' The multi-step action (buy-then-cast) and the five bait-keyed cast counts are unambiguous, and the tool is clearly distinct from the read-oriented siblings (daily_routine, farm_brief, recipe_check).

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?

It gives explicit preconditions and when-not rules: 'Check live daily quota, bait stock, shop prices and wallet first... buy NOTHING/cast NOTHING if quota or the entire bill is insufficient.' It also states there is 'No daily-once restriction; each invocation rechecks quota,' and instructs on the UNKNOWN-outcome case ('never automatic retry'), leaving little to inference.

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

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

With only thin annotation coverage, the description carries the burden well and resolves the non-obvious annotation set: it explains why readOnlyHint=false by disclosing that the upstream inventory list may auto-claim pending gifts (returned with a UTC receipt time), and it confirms destructiveHint=false by stating it never cooks or sells. It also documents null returns, missingIngredientSellValueUnavailable status, the quota>0 requirement for canCookAnyNow, and the compact-summary return shape for unresolved recipes.

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 first sentence front-loads the core action and output ranking, and the gift-claim caveat is placed at the end. However, the middle is a dense wall of edge-case rules (value-added formula, missing-price nulls, fallback threshold, unresolved-recipe summary) packed into run-on clauses, so it is harder to scan than it needs to be.

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?

There is no output schema and no input schema, so the description must define the response shape itself, and it does: ranked cookableNow/missingOne lists capped at five, null prices with status, error returns instead of empty candidates, and count/name summaries for unresolved recipes. Nothing an agent needs to invoke and interpret this call is missing.

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?

The tool takes zero parameters, so the baseline is 4; there is no parameter surface for the description to clarify. The description's detail about which wine/vinegar IDs count as ingredients is domain logic rather than parameter semantics, but it is not harmful here.

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 opening clause states a specific verb and resource ('Validate ledger recipes against live inventory and today's cooking quota') and immediately names the concrete outputs (cookableNow, missingOne ranked by valueAdded). The three siblings (daily_routine, farm_brief, fishing_trip) are unrelated domains, so no sibling differentiation is required.

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?

It gives a real conditional trigger for the expensive path: 'Only if the ledger has no material-complete recipe, inspect the latest 50 with usedLatest50Fallback.' It also states the negative-case behavior (missing/invalid ledger, inventory or quota returns source errors). It stops short of naming an explicit alternative tool or a when-not-to-call-this-tool rule.

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