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get_organic_search_performance

Evaluate organic search performance by search engine and query. Use date range to analyze traffic trends and identify optimization opportunities.

Instructions

Analyze organic search performance by search engine and query.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
counter_idYesCounter ID
date_fromNoStart date YYYY-MM-DD
date_toNoEnd date YYYY-MM-DD

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description should fully disclose behavioral traits. It only states the function without detailing side effects, permissions, or safety profile. For a query tool, it likely has no destructive effects, but this is unstated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence with no wasted words. However, it could be slightly expanded to clarify scope without losing conciseness.

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?

With 100% schema coverage and an output schema presumably available, the description provides adequate but minimal context. It lacks clarification on how the tool integrates with sibling tools or the exact nature of the data returned.

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?

All three parameters have clear descriptions in the input schema (coverage 100%). The tool description adds no extra semantic value beyond what the schema already provides, so a baseline score of 3 is appropriate.

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

Purpose3/5

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

The description uses the vague verb 'Analyze' and mentions 'by search engine and query,' but does not specify whether it returns aggregated or detailed data. The tool name clarifies it's about organic search performance, but it is not distinctly differentiated from siblings like get_search_engines_data or sources_search_phrases.

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 this tool versus alternatives. The description does not mention any exclusions or prerequisites, leaving the agent to infer usage from the tool name alone.

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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