Registry totals
get_statsTotals, company status breakdown and top cities. סיכומים, התפלגות סטטוס חברות והערים המובילות. Same figures as the IsraBase statistics page.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_statsTotals, company status breakdown and top cities. סיכומים, התפלגות סטטוס חברות והערים המובילות. Same figures as the IsraBase statistics page.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is fully covered by structured data. The description adds only the provenance note that figures match the IsraBase statistics page; it says nothing about aggregation lag, caching, or result shape, so it adds modest value on top of annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
It is short and front-loaded, with the data contents first and provenance last. However, the Hebrew sentence is a verbatim translation of the English one and consumes half the description without adding information for the calling agent, so not every sentence earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a no-parameter, read-only aggregate tool with no output schema, the description covers what the call returns at a high level (totals, status breakdown, top cities), which is the main thing an agent needs. Exact field names and structure are unstated, but that gap is minor given the tool's simplicity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so there is nothing for the description to disambiguate. Baseline 4 applies; the description correctly implies the call is argument-free by describing a fixed aggregate view.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a specific resource (registry statistics) and enumerates its contents: totals, company status breakdown, and top cities. That is enough to distinguish it from the entity-lookup siblings (get_company, search_companies), though it never states an explicit verb or directly contrasts itself with them.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no when-to-use guidance, no prerequisites, and no mention of alternatives. 'Same figures as the IsraBase statistics page' establishes provenance of the data but not the condition under which an agent should call this tool rather than search_companies or list_marketplace_listings.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.