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mayankchugh-learning

expense-mcp

list_expenses

List expenses between two dates. Returns expense details like amount, category, and note.

Instructions

Return all expenses with date between start_date and end_date, inclusive.

Rows are ordered by id ascending.

Args: start_date: Range start, YYYY-MM-DD recommended. end_date: Range end, YYYY-MM-DD recommended.

Returns: List of dicts with keys id, date, amount, category, subcategory, note.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_dateYes
start_dateYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided, so description carries full burden. It discloses ordering (by id ascending), inclusive date range, and return structure (list of dicts with specific keys). Does not mention permissions, rate limits, or pagination, but for a simple read operation this is adequate.

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?

Description is concise with no wasted words. It uses clear sectioning (Args, Returns) and front-loads the core purpose in the first sentence.

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 and presence of an output schema (contextual signal), the description fully covers behavior: filtering, ordering, and return format. No gaps for an agent to misuse the 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?

Schema coverage is 0%, so description compensates by explaining start_date and end_date as range bounds with recommended format 'YYYY-MM-DD'. This adds meaning beyond the schema's simple type declaration.

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?

Description clearly states the tool returns expenses filtered by date range, ordered by id ascending. It distinguishes itself from sibling tools 'add_expense' (adds) and 'summarize' (aggregates) by focusing on filtering and listing.

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

Usage Guidelines4/5

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

The description gives clear context about date range filtering and order, and implies listing over adding/summarizing. However, no explicit when-not-to-use or alternative tool names are provided.

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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