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Countdown Days

countdown_days
Read-onlyIdempotent

Count the days until each named event, soonest first. FREE.

Typical input {"events": {"Launch": "2026-10-01", "Trip": "2026-09-05"}} returns {"today": "YYYY-MM-DD", "events": [{"event": "Trip", "date": "2026-09-05", "days_away": 20}, ...]}; a bad date gets a per-event error entry instead of failing the whole call.

Use to rank named dates by how soon they arrive. Not for working-day math, which the timeops server's business_days handles, and not for building a review schedule (spaced_repetition_plan). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": ""}. Every call is read-only and idempotent, so after correcting the input it is always safe to retry.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
eventsYesMapping of event name to ISO date YYYY-MM-DD, e.g. {"Launch": "2026-10-01"}. The first 30 events are used.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.8/5.0
Behavior5/5

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

The description adds significant value beyond annotations: it explains the free tier, input format with example, output format with example, per-event error handling (doesn't fail whole call), error response format, and explicitly states read-only and idempotent behavior. Annotations already provided readOnlyHint=true and idempotentHint=true, but the description adds rich context about error handling and retry safety.

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

Conciseness4/5

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

The description is well-structured with clear sections: purpose, example, usage notes, error behavior. It is reasonably concise but could be slightly tighter; the error handling explanation is a bit verbose. However, it front-loads the key info ('Count the days until each named event') and earns its sentences.

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 (1 parameter, 100% schema coverage, output schema present, annotations present), the description is complete. It covers purpose, input/output examples, error handling, usage boundaries, and safety guarantees. No gaps remain for an AI agent to correctly select and invoke this tool.

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

Parameters4/5

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

The description provides a concrete example of the events parameter ('{"Launch": "2026-10-01", "Trip": "2026-09-05"}') and explains the limit ('The first 30 events are used'). Since schema coverage is 100% and the schema already describes the parameter, the description's example adds value by showing the exact format, though it doesn't elaborate on all edge cases (e.g., what happens with duplicate event names).

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 explicitly states 'Count the days until each named event, soonest first' with a specific verb ('Count') and resource ('days until named events'). It distinguishes itself from siblings by mentioning 'Not for working-day math' (business_days) and 'not for building a review schedule' (spaced_repetition_plan).

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?

The description provides clear usage guidance: 'Use to rank named dates by how soon they arrive' and explicitly states when not to use it ('Not for working-day math... not for building a review schedule') with named alternatives (timeops server's business_days, spaced_repetition_plan). It also includes error handling instructions and retry safety.

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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TDQS

A4.5/5.0
Disambiguation4/5

Each tool targets a distinct task: budget_split for income allocation, tip_split for bill splitting, savings_goal for target saving, etc. There is slight potential confusion between budget_split and tip_split as both involve splitting money, but their inputs and purposes (monthly income vs. a single bill) are clearly differentiated. No two tools have overlapping functionality.

Naming Consistency4/5

Tool names follow a consistent snake_case verb_noun pattern (budget_split, tip_split, savings_goal, list_products, get_free_skill, etc.). The only minor inconsistency is that two tools use 'split' (budget_split, tip_split), which is fine as they refer to different kinds of splitting. Overall, the naming is predictable and clear.

Tool Count5/5

With 9 tools, the count is perfectly scoped for a personal suite covering personal finance (budget_split, tip_split, savings_goal), product browsing (list_products, get_free_skill, get_full_product, get_full_skill), time utilities (countdown_days), and learning (spaced_repetition_plan). Each tool serves a clear purpose without bloat or triviality.

Completeness4/5

The tool set covers the advertised areas: personal finance budgeting, goal saving, bill splitting, product discovery, countdowns, and spaced repetition. A minor gap is the lack of an update or delete tool, but this is acceptable since the server is primarily read-only and informational. The product tools provide a reasonable lifecycle (list, get free, get full, get skill).

Resources