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Glama

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. Added

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already include destructiveHint=true and idempotentHint=true, so the description doesn't need to restate those. It adds value by specifying what is destroyed (a memory by key) and the typical use cases for deletion. However, it doesn't mention irreversibility or edge cases like missing keys, but that's partially covered by annotations.

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?

The description is two sentences with no wasted words. The first sentence states the core action; the second gives usage triggers. Every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple one-parameter delete tool with good annotations, the description provides complete context: what it does, when to use it, and how it relates to sibling tools. No output schema is needed, and idempotency/destructiveness are covered by annotations.

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%—the single parameter 'key' is described as 'Memory key to delete.' The description's phrase 'by key' adds no extra meaning beyond the schema, so the baseline of 3 is appropriate.

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 a clear verb and resource: 'Delete a previously stored memory by key.' It explicitly distinguishes the tool from siblings by framing it as the counterpart to remember and recall, which are listed in the sibling tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit usage criteria: 'Use when context is stale, the task is done, or you want to clear sensitive data the agent saved earlier.' It also references complementary tools (remember and recall), giving clear context on when this tool is appropriate versus alternatives.

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

A4/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, but ask_pipeworx and ask_pipeworx_grounded are very similar and could cause confusion. The multiple Polymarket tools are differentiated by their specific functions.

Naming Consistency3/5

Tool names are a mix of verb_noun (e.g., ask_pipeworx, get_verse) and noun_verb (e.g., polymarket_arbitrage, ai_visibility_check). While all use snake_case, the pattern is inconsistent.

Tool Count4/5

With 33 tools, the server is comprehensive but slightly large. Each tool seems justified, covering multiple domains like company data, prediction markets, Bible, and memory.

Completeness5/5

The tool surface is highly complete for a universal data server, including financials, drugs, patents, news, real estate, and more. Meta-tools like discover_tools and suggest_questions further enhance usability.