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Stop redeem code updates

unfollow_codes
DestructiveIdempotent

Use when the user asks to stop redeem code alerts for a game. guide is the guideSlug from search_guides, or the guide value from my_saved_guides or my_code_follows; pass the search result's locale. Returns what changed and the guide's GAMES.GG url.

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": {
      "guide": "<guide>"
    },
    "name": "unfollow_codes"
  }
}

Input Schema

NameRequiredDescriptionDefault
guideYesThe guideSlug from search_guides, or the guide value from my_saved_guides or my_code_follows.
localeNoThe locale of that search_guides result.

Output Schema

NameRequiredDescriptionDefault
urlYes
savedYes
titleYes
changedYesfalse when the account already had this state.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare destructiveHint=true, readOnlyHint=false, and idempotentHint=true, so the safety profile is covered in structured data. The description adds the origin of the key parameters and mentions the return payload ('what changed and the guide's GAMES.GG url'), but that return info overlaps the output schema and it does not explain what a 'change' entails or how a missing follow is handled.

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?

Three short sentences, front-loaded with the usage trigger followed by parameter sourcing and return content. There is no filler or repetition beyond the necessary cross-references to sibling tools.

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 an output schema present and full param coverage, the description only needs to supply trigger and sourcing context, which it does. The remaining gap is minor: no statement of failure behavior when the guide is not currently followed.

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 baseline is 3. The description's phrasing about guide and locale largely restates the schema property descriptions verbatim ('the guideSlug from search_guides, or the guide value from my_saved_guides or my_code_follows') rather than adding new meaning such as format or fallback behavior.

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+resource pairing: stopping redeem code alerts (removing a code follow) for a game. It is unambiguous on its own, but it never names its inverse sibling follow_codes, leaving the agent to infer the pairing from tool names alone.

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 gives an explicit trigger condition: 'Use when the user asks to stop redeem code alerts for a game.' There are no exclusions or stated preconditions (e.g., what happens if the follow does not exist), but the when-to-use context is clear and actionable.

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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