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get_storage_stats

Get database statistics for Yandex SEO: view stored SERP snapshots, position measurement history, competitiveness trends, and frequent domains.

Instructions

Что накоплено в базе yaseo: снимки, замеры позиций, история конкурентности, самые частые домены выдачи.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

B3.2/5.0
Behavior2/5

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

With no annotations, the description must carry the full behavioral burden. It implies the tool reads already-accumulated data, but it does not explicitly state that it is read-only, what the response contains, or any freshness or scope 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 entire description is a single compact sentence, front-loading the database context and listing useful content categories without filler.

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

Completeness3/5

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

For a parameterless tool this is minimally adequate: the description names the data areas returned. However, with no output schema and no annotations, it leaves the return format and read-only nature implied rather than explicit, and it does not orient the agent among the many sibling data tools.

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 zero parameters and 100% schema coverage, so parameter documentation is unnecessary. The description still adds value by clarifying which stored-data categories the result covers.

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 names the resource (yaseo database) and enumerates the data categories it exposes: snapshots, position measurements, competition history, and frequent result domains. It does not explicitly state that it returns or aggregates these, and it overlaps conceptually with siblings like get_positions and get_competition, so it stops short of a full 5.

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

Usage Guidelines2/5

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

There is no guidance on when to use get_storage_stats instead of related tools such as get_positions, get_competition, or get_serp_results. The list of content suggests an overview use case, but no when-to-use or when-not-to-use context is provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.