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datasets_chrome_extensions_changes

Track recent Chrome Web Store item changes across users, ratings, versions, permissions, privacy, status, and developers by returning structured change observations.

Instructions

Get recent Chrome Web Store item changes. Returns recent change observations. Change type enum: users, rating, rating_count, version, developer, permissions, privacy, status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum observations, default 100, max 500
change_typeNoChange type enum: users, rating, rating_count, version, developer, permissions, privacy, status

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.17.5
    • addedInput schema / properties / change_type / enum
      Added value: +[
      +  "users",
      +  "rating",
      +  "rating_count",
      +  "version",
      +  "developer",
      +  "permissions",
      +  "privacy",
      +  "status"
      +]
  2. Addedv1.5.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions returning 'recent change observations' but does not specify ordering, pagination, response format, authentication requirements, or side effects. For a read-like operation, it does not explicitly state it is non-destructive or explain the meaning of 'recent.' This leaves significant gaps in behavioral transparency.

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 concise, consisting of two sentences, and front-loads the purpose. It mentions the change type enum early. It is not overly verbose and every sentence contributes to the overall understanding, though it could be slightly more structured with explicit sections for behavior or examples.

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 tool with only two optional parameters and no output schema, the description is moderately complete. It covers the purpose and the main enum. However, it lacks differentiation from similar sibling tools and does not describe the response format or any limitations (e.g., how 'recent' is defined, whether results are sorted). Given the presence of sibling tools that overlap, more contextual guidance would improve completeness.

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%, so both parameters (limit and change_type) are fully documented in the schema. The description repeats the enum list but adds no extra semantic detail beyond what the schema already provides. It does not explain how limit works or what each change type means, so it adds minimal value. The baseline of 3 is appropriate given the schema already covers parameter semantics.

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 clearly states the verb 'Get' and the resource 'recent Chrome Web Store item changes,' and clarifies it returns 'recent change observations.' While it is specific about the resource, it does not explicitly distinguish itself from sibling tools like datasets_chrome_extensions_history or datasets_chrome_extensions_metrics, which could be similar in purpose. The enum list adds clarity about the change types.

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. With several closely related sibling tools (history, metrics, trending, etc.), an agent would benefit from explicit conditions or exclusions. The description only states what it does, not when it is the appropriate choice, leaving selection to inference.

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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