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apidrift__get_apidrift_info

Read-only

Get pricing and details for APIDrift: weekly plus same-day urgent email alerts tracking deprecations, breaking schema changes, and pricing shifts across OpenAI, Anthropic, Google, xAI, Together, Mistral, Groq, Cloudflare Workers AI, and AWS Bedrock. Useful for an agent helping an engineering team that depends on LLM provider APIs avoid getting blindsided by an upstream breaking change.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description aligns with this by describing a read-only information retrieval action. It adds value by specifying the content scope (providers, alert types like deprecations, schema changes, pricing shifts), which goes beyond the bare readOnly flag.

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 two sentences: the first is front-loaded with the core action and resource, and the second adds relevant context about the target audience and value proposition. It is not overly verbose, though the second sentence is somewhat long and could be tightened without losing meaning.

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?

For a zero-parameter informational tool with no output schema, the description fully explains what the tool returns (pricing, details, alert types, providers) and why it is useful. Nothing critical is missing for an agent to decide whether to call it.

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

Parameters4/5

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

There are zero parameters, and schema description coverage is 100% (trivially, since there are no properties). The description does not need to explain any parameter semantics, and the baseline for a no-parameter tool is 4.

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 'pricing and details for APIDrift', and enumerates the specific providers covered. It distinguishes itself from the sibling 'get_recent_breaking_changes' by focusing on pricing and service details rather than recent changes, though it does not explicitly name that alternative.

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?

It provides a concrete use case ('helping an engineering team that depends on LLM provider APIs avoid getting blindsided by an upstream breaking change'), which implies when it would be relevant. It does not explicitly state when not to use it or mention sibling tools, but the context is clear enough for a zero-parameter informational tool.

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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