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Salsmart — Israeli Grocery Prices

Check source freshness and branch coverage

get_data_status
Read-onlyIdempotent

Return the actual covered branches and the freshness of their retailer price files. A fresh branch needs a successful fetch within 12 hours and a source file published within 72 hours. No live-stock guarantee. Free and read-only.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
sourcesYes
checked_atYes
updated_atYes
citation_urlYes
fresh_storesYes
stale_storesYes
total_storesYes
coverage_noteYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

The annotations already declare read-only, idempotent, non-destructive, and closed-world behavior, so the description does not need to repeat safety. It adds real operational context by defining freshness as a successful fetch within 12 hours and a source file published within 72 hours, and it flags that there is no live-stock guarantee.

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?

It leads with the return content, then defines the freshness thresholds, then qualifies the limitation. Every sentence carries actionable information and there is no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so the description need not enumerate return fields. With no parameters and annotations covering safety, the description is nearly complete, though it could briefly clarify what branch coverage means or when a stale result should trigger a fallback.

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 takes zero parameters, so the schema-description burden is minimal. The baseline for zero parameters applies, and there are no missing parameter semantics to compensate for.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb-and-resource: it returns covered branches and the freshness of their retailer price files. That is clear enough for an agent to know what it gets back, though it does not explicitly contrast itself with the sibling tool search_products.

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

Usage Guidelines3/5

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

Usage is implied by the title and the freshness definition, so an agent can infer this is a pre-check tool. However, the description never says when to call it versus search_products, nor does it give any exclusions or prerequisites.

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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