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zhangluka

grain-seo-mcp

by zhangluka

seo_lost_queries

Identify search queries that lost all traffic or dropped over 80% compared to the previous period, enabling quick detection of content decay and traffic loss.

Instructions

Identify queries that lost all traffic (or dropped >80%) compared to the previous period.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
siteUrlYesThe site URL
daysNoNumber of days to compare (default: 28)
limitNoMax results to return (default: 50)
engineNoThe search engine (default: google)
Behavior2/5

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

No annotations are provided, so the description carries full burden. It explains the filtering criteria but does not disclose return format, pagination, data source, or authorization requirements, leaving a significant gap in behavioral understanding.

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 a single, clear sentence that efficiently conveys the core functionality with no wasted words.

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?

While the tool has 4 parameters with full schema coverage, there is no output schema, and the description does not hint at the response structure or pagination. For a data-returning tool, this is adequate but incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, and the description adds no additional meaning beyond what the schema already provides for parameters. Baseline score of 3 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 verb 'identify', the resource 'queries that lost all traffic (or dropped >80%)', and the comparison 'compared to the previous period'. It effectively distinguishes from sibling tools like analytics_top_queries and seo_low_ctr_opportunities.

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?

The description implies usage for identifying lost queries but does not provide explicit when-to-use or when-not-to-use guidance, nor does it mention alternatives. Given the large set of sibling tools, more direction would help selection.

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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