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buygit_diff_versions

Compare a BuyGit listing between two dates to detect changes in license, popularity, and risk, answering if a dependency regressed since you last checked.

Instructions

Time-window diff for a BuyGit listing — did the license / popularity / risk change between two dates? Answers questions no other MCP can ("did this dep regress since I added it last quarter?"). Returns snapshot-driven deltas when the operator has TRENDING_V2_ENABLED + the snapshot table populated; otherwise returns current state + a gated_on hint so the agent knows what to ask the operator for.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesListing slug from a prior tool call.
fromNoISO 8601 datetime to compare from. Clamped to listing.created_at if earlier.
toNoISO 8601 datetime to compare to. Defaults to now.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYes
titleNo
modeYes
fromNo
toNo
deltaNoPresent when mode = snapshot-diff. Stars/forks/popularity deltas across the requested window.
currentYes
gated_onNoOperator action name when historical data unavailable.
noteNo
Behavior5/5

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

With no annotations provided, the description fully discloses behavior: returns snapshot deltas under certain conditions, otherwise returns current state with a hint. It also mentions the gated_on hint mechanism, so the agent knows what to request. No contradictions.

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 paragraph that efficiently communicates purpose, usage conditions, and fallback behavior. Every sentence adds value, and the key information is front-loaded.

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

Completeness5/5

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

Given the tool has 3 parameters, no annotations, and an output schema exists, the description provides comprehensive context: it explains the tool's unique capability, conditional behavior, fallback, and instructions for the agent. Nothing essential is missing.

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

Parameters5/5

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

Input schema has 100% coverage with descriptions for each parameter. The description adds further context: slug is from a prior tool call, from is clamped to listing.created_at, and to defaults to now. This additional information enhances understanding beyond the schema.

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?

Description clearly states it's a time-window diff for a BuyGit listing, checking license/popularity/risk changes. Provides an example question ('did this dep regress since I added it last quarter?') and claims it answers questions no other MCP can, effectively differentiating from siblings.

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 explains when the full snapshot-driven deltas are available (TRENDING_V2_ENABLED + snapshot table populated) and what to do otherwise (returns current state + gated_on hint). It does not explicitly list alternative tools for similar tasks, but the phrase 'Answers questions no other MCP can' strongly implies its unique use case.

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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