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Find privacy alternatives to a product

dp_find_alternatives
Read-onlyIdempotent

Use when a user wants to replace a mainstream product: consumer apps and services (Gmail, WhatsApp, Chrome, Google Drive, Zoom, LastPass, Windows…) or a website tracker / ad script (Google Analytics, Hotjar, Mixpanel, Facebook Pixel…). Pass the product's name. Trackers return a curated swap list. Consumer products return a hand-picked list of directory tools that replace them (DP picks first, then the rest of the list), plus what_changes (what switching involves, e.g. your contacts must install the new messenger too) and related guides and stacks, each with its url. Each tool carries dp_url.

Input Schema

NameRequiredDescriptionDefault
limitNoMax alternatives (default 8).
productYesThe product to replace, by name, e.g. 'WhatsApp', 'Gmail', 'Google Analytics'.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / product / description
      Previous value: -"The product/service to replace, e.g. 'Google Analytics', 'Hotjar'."New value: +"The product to replace, by name, e.g. 'WhatsApp', 'Gmail', 'Google Analytics'."
  2. Added

TDQS

A3.9/5.0
Behavior4/5

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

With annotations covering safety (readOnly, idempotent, non-destructive), the description adds meaningful behavioral context: trackers return a curated swap list, consumer products return a hand-picked list with DP picks first, plus what_changes, related guides, and stacks. It stops short of describing rate limits or error handling.

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 front-loaded with usage guidance, then moves logically through input and output details. The long parenthetical example lists add some bulk, but each sentence contributes useful information and no major redundancy is present.

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 read-only, idempotent tool with full schema coverage and rich annotations, the description covers the key behavioral and return-value information an agent needs. The absence of an output schema is compensated by explaining what_changes, related guides/stacks, and dp_url, though error cases (e.g., unknown product) are not addressed.

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 the 'product' and 'limit' parameters are already documented in the schema. The description says 'Pass the product's name' and gives examples, but adds no meaning beyond the schema and never mentions the limit parameter.

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 states a specific verb ('find alternatives') and resource ('product') and clearly explains its two modes: consumer products vs. trackers. It implies differentiation from sibling tools like dp_get_related_tools or dp_search_tools, but does not explicitly name or contrast with them.

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 opening 'Use when a user wants to replace a mainstream product' gives clear situational guidance, including example product categories. It does not state when not to use this tool or name alternative tools for other scenarios.

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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