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pos-buzz

posbuzz-mcp

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by pos-buzz

read_ec_sync_status

Verify EC sales data sync status via aggregate counts and timestamps per channel, plus recent sync batches. Confirms sync occurred without exposing individual sales rows.

Instructions

Confirms whether EC sales data has been synced. Returns aggregate counts and timestamps per channel plus the most recent sync batches.

For security, this endpoint does not expose individual sales rows or amounts — it is only a confirmation that a sync happened. Use it after import_ec_sales to verify the rows landed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesConfirmation that EC sales data was synced. Returns counts and timestamps ONLY — never individual sales rows or amounts — so it is safe for confirming a sync without exposing the underlying sales data.
Behavior5/5

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

With no annotations, the description carries the full burden. It discloses that the tool does not expose individual rows or amounts for security, and that it is only a confirmation. This clearly sets expectations about the tool's behavior and limitations.

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 two sentences: the first states the purpose, the second provides usage context and a security limitation. It is front-loaded, concise, and every sentence adds value.

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 zero-parameter status-check tool with an output schema, the description is complete. It explains the purpose, what it returns, when to use it, and what it deliberately does not return. No further context is needed.

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 tool has 0 parameters, so the schema already fully covers the parameter semantics. The description adds no parameter-specific information, but since none exist, the baseline of 4 is appropriate.

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's purpose: confirming whether EC sales data has been synced. It specifies the resource (EC sales data sync status) and the verb (confirms), and distinguishes it from siblings like read_ec_results (which likely returns actual sales data) by noting it returns aggregate counts and timestamps.

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?

Explicitly instructs to use it after import_ec_sales to verify rows landed, and states when not to use it (does not expose individual sales rows or amounts). This provides clear when-to-use and when-not-to-use guidance.

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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