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Find Alternatives

peerpush_find_alternative
Read-only

Finds alternatives and competitors to a named software product, tool, app, or service. Relevant when the user asks for an alternative, replacement, or competitor to a specific product (e.g. "alternative to Notion", "something like Figma but free"). Returns ranked alternatives with pricing, platforms, use cases, and community engagement metrics. Link each product with its websiteUrl, or its peerpushUrl for the PeerPush page.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of alternatives to return
productYesThe product name to find alternatives for (e.g. "Notion", "Figma", "Stripe")
audienceNoFilter by target audience (e.g. "Developers", "Indie Hackers", "Marketers", "Designers")
platformsNoFilter by platform: Web, Api, Desktop, Mcp, Cli, Mobile
pricingTypeNoFilter by pricing: Free, Freemium, Subscription, OneTime, Paid

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already establish readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so safety is covered. The description adds real value beyond them by disclosing the return shape (ranked alternatives with pricing, platforms, use cases, community engagement metrics) and a linking instruction to websiteUrl or peerpushUrl — meaningful since no output schema exists.

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?

Three sentences, front-loaded with the core purpose before the usage trigger and return/linking detail. Every sentence carries information; only the linking sentence is marginally operational rather than definitional.

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?

With no output schema, the description compensates by summarizing return contents and link targets, and the read-only annotations cover the safety profile. Filtering behavior (audience, platform, pricing) is left to the schema, which documents it fully, so nothing essential is missing.

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 all five parameters (limit, product, audience, platforms, pricingType) are already documented in the schema with examples and enum values. The description's mention of pricing and platforms only echoes returned fields rather than adding new parameter semantics, so the baseline 3 applies.

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?

States a specific verb ('finds') and resource ('alternatives and competitors to a named software product'), which is clearly distinct from sibling lookup tools like peerpush_find_product or peerpush_product_details. However, it never names a sibling to sharpen the boundary, so it stops short of a 5.

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?

Gives an explicit triggering condition ('when the user asks for an alternative, replacement, or competitor to a specific product') with concrete example phrasings such as "alternative to Notion" and "something like Figma but free". No when-not guidance or named alternative tool is offered.

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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