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urdb_get_changes

Retrieve documented product changes including firmware regressions, warranty reductions, added subscriptions, and material downgrades with evidence-backed severity filtering.

Instructions

Get documented enshittification events for a product — firmware regressions, warranty cuts, added subscriptions, material downgrades. All sourced and evidence-backed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesProduct slug from URDB
severityNoFilter to this severity level
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses key behavioral traits: the tool returns 'documented', 'sourced and evidence-backed' events, and lists specific event types (firmware regressions, warranty cuts, etc.). However, it lacks details on permissions, rate limits, pagination, or response format.

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, dense sentence with zero waste—every word contributes to clarifying the tool's purpose and scope. It is appropriately sized and front-loaded with the core action.

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

Completeness4/5

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

Given the tool's moderate complexity (2 parameters, no output schema, no annotations), the description is largely complete for its purpose. It covers what the tool does and the nature of the data, but lacks output details (e.g., response structure) and some behavioral context (e.g., error handling).

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 the schema already documents both parameters (slug and severity). The description adds no additional parameter semantics beyond what the schema provides, such as examples or usage nuances, meeting the baseline for high schema coverage.

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 tool's purpose with specific verbs ('Get documented enshittification events') and resources ('for a product'), and distinguishes it from siblings by specifying the type of data returned (evidence-backed degradation events) rather than general product information or listings.

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

Usage Guidelines4/5

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

The description provides clear context for when to use this tool (to retrieve documented product degradation events), but does not explicitly state when not to use it or name alternatives among the sibling tools (urdb_get_product, urdb_list_products, urdb_search).

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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