Skip to main content
Glama
Sign In

The Daily Workflow — AI Tools & Free Alternatives

by com.thedailyworkflow
OverviewDiscussionsAdmin

find_free_alternative

Read-onlyIdempotent

Find verified free open-source replacements for a paid AI product.

Backed by the Swap Map at thedailyworkflow.com/alternatives — every
replacement is checked by hand against live GitHub (stars, license,
last push). Answer honestly from the returned status:
  - "covered": list the replacements (repo, stars, license,
    coverage full/partial, why_en, setup_level) and the money saved.
  - "checked_no_replacement": the product was audited and no
    verified free replacement exists yet — say exactly that.
  - "unknown": not audited yet; may include up to 3 covered
    "suggestions" nearby — present them as neighbours, NOT as
    replacements for this product.

Args:
    product_name: Paid product name, e.g. "Midjourney", "Notion AI",
                  "Jasper". Case-insensitive.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "product_name": "<product_name>"
    },
    "name": "find_free_alternative"
  }
}

Input Schema

NameRequiredDescriptionDefault
product_nameYesName of the paid product to find verified free open-source replacements for, e.g. "Midjourney", "Notion AI" or "Jasper". Case-insensitive.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior5/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive), and the description goes well beyond them by disclosing the data provenance (hand-checked against live GitHub for stars, license, last push) and the exact meaning of all three response states. That return-state semantics is the highest-value information for an agent with no output schema.

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 purpose statement and the per-status handling are front-loaded and scannable as a bulleted contract. The trailing Args block duplicates the input schema and is dead weight, which costs a point.

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 must carry return semantics and it does so thoroughly across the three statuses. Minor gaps remain (behaviour on an unrecognised or misspelled product name, and what fields appear under "covered"), but an agent can call and interpret this correctly.

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 single parameter is fully documented in the schema. The Args block repeats the schema almost verbatim (examples, case-insensitivity) and adds no new meaning such as fuzzy matching or what happens on an unrecognised name, so the baseline of 3 applies.

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 opening sentence names a specific verb (find) and a precise resource (verified free open-source replacements for a paid AI product), plus the data source. It is clearly distinguishable from sibling search_ai_tools and get_ai_tool_details, which are catalogue lookups rather than replacement mapping.

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?

Usage is well framed: it explains how to act on each of the three returned statuses, including the important exclusion that "unknown" suggestions are neighbours, NOT replacements. It does not explicitly route the agent away from sibling tools or state prerequisites, which keeps it from a 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All The Daily Workflow — AI Tools & Free Alternatives toolsInspect
Try in Browser
Claude Code, inside the Godot 4 editorFlockbay puts an AI agent in the real Godot 4 editor: it writes GDScript, runs your game and fixes what breaks. Free, or bring your own Claude Code or Codex.flockbay.comAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources