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Forget

forget
DestructiveIdempotent

Delete a previously stored memory by key. Use when context is stale, the task is done, or you want to clear sensitive data the agent saved earlier. Pair with remember and recall.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyYesMemory key to delete

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "key": "user_research_topic"
      +  }
      +]
  2. First observed

TDQS

A4/5.0
Behavior3/5

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

Annotations already flag destructiveHint, idempotentHint, and readOnlyHint. The description confirms deletion but adds little beyond the annotations. It mentions clearing sensitive data, which is a rationale, not a distinct behavioral trait. Since the annotations carry the main transparency, this is adequate but not enriched.

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 concise sentences: the first states the action, the second gives use cases, the third references related tools. No wasted words.

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 single-parameter delete tool with strong annotations and no output schema needed, the description covers purpose, usage, and context. It could mention return behavior but that's not critical given idempotency and simplicity.

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?

The schema fully describes the single `key` parameter with 100% coverage. The description adds no additional semantic details about key format or behavior; it only restates that deletion is by key.

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 description opens with 'Delete a previously stored memory by key,' which precisely states the action and target. It clearly distinguishes this from sibling tools like remember and recall by indicating it's the delete operation.

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 explicit when-to-use guidance: 'Use when context is stale, the task is done, or you want to clear sensitive data...' It also references remember and recall as companion tools, though it doesn't explicitly state an alternative for retrieval, so slightly short of a 5.

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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TDQS

C2.9/5.0
Disambiguation3/5

The 40 tools span Ethereum RPC, Pipeworx data lookup, prediction markets, memory, and subscriptions, creating several overlapping clusters (ask_pipeworx variants, polymarket_edges vs polymarket_arbitrage vs bet_research). Detailed descriptions help, but an agent could still misselect among the deeply related prediction-market tools or the ask_pipeworx family.

Naming Consistency3/5

Snake_case is consistent, but the convention mixes verb-first names (ask_pipeworx, validate_claim, generate_llms_txt) with noun-first names (token_balances, nft_owners, recent_alerts) and RPC-derived names (eth_call, asset_transfers). It is readable but lacks a uniform verb_noun pattern.

Tool Count2/5

40 tools is well over the 25+ threshold for a coherent surface, and the server is named 'Alchemy Eth' while the majority of tools belong to Pipeworx and Polymarket. The count is far too heavy for the apparent Ethereum-focused scope, and would benefit from being split into separate servers.

Completeness3/5

The Ethereum subset is read-heavy (transfers, tokens, NFTs) but the generic eth_call passthrough covers arbitrary RPC methods, partially filling gaps. The Pipeworx side is fairly complete with query, research, grounding, subscriptions, and memory. Overall, the mixed domain makes the full surface feel incomplete with no unified lifecycle.