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Taokeh MCP server

Business snapshot

business_snapshot
Read-only

A one-glance health check of your business: today's and this-month's sales and expenses, so far. Sales and expenses ONLY — if you want the fuller morning read (cash position, who owes you, pending approvals, tax position, low stock) call daily_brief instead; it includes everything here.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already carry the safety profile (readOnlyHint=true, openWorldHint=false), and the description adds meaningful behavioral context beyond them: the temporal framing ('so far', today's and this-month's), the hard exclusion scope ('Sales and expenses ONLY'), and the point-in-time nature of a snapshot. It stops short of a 5 only because it doesn't describe the return format or whether figures are aggregates.

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?

Two sentences with zero wasted words: the core purpose is front-loaded ('one-glance health check'), the scope is stated precisely with 'ONLY', and the alternative routing follows immediately. The em-dash separation and caps signal emphasis without bloat.

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?

For a parameterless, read-only snapshot tool with no output schema, the description fully covers what an agent needs: what data is returned (sales and expenses, today and this month), what is excluded, and what to call instead for broader coverage. Nothing required for correct invocation is missing.

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 input schema is empty and the parameter count is 0, so the baseline of 4 applies — there are no parameters whose semantics need clarification. Schema description coverage is trivially 100% for an empty schema, and the description correctly communicates that this tool requires no arguments.

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 names a specific verb and resource: a 'one-glance health check' of 'today's and this-month's sales and expenses'. It sharply delineates scope with 'Sales and expenses ONLY' and explicitly differentiates itself from daily_brief, so an agent can distinguish it from the 58 siblings without opening any schema.

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 gives an explicit when-to-use-this vs. when-to-use-that rule: call daily_brief instead when wanting the fuller morning read (cash position, receivables, approvals, tax, low stock), noting daily_brief 'includes everything here'. This is a direct alternative with a named sibling and a specific selection condition.

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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