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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. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already provide destructiveHint=true, so the description's job is lighter. It adds context on why to delete (stale context, task done, sensitive data) without contradicting 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?

Two concise sentences, first defining purpose, second providing usage guidance. No redundant information.

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 simple one-parameter tool, the description covers purpose and usage. It could mention return behavior or edge cases, but overall sufficient.

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 covers 100% of parameters with a clear description for 'key'. The tool description adds no additional parameter information beyond the schema, achieving the baseline.

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 explicitly states 'Delete a previously stored memory by key', providing a specific verb and resource. It distinguishes itself from sibling tools like 'remember' (store) and 'recall' (retrieve).

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?

Provides explicit use cases: 'when context is stale, the task is done, or you want to clear sensitive data'. Also references sibling tools 'remember and recall' as 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

A3.9/5.0
Disambiguation2/5

There are several tools with overlapping query responsibilities: ask_pipeworx, ask_pipeworx_beta, and ask_pipeworx_grounded are near-variants of the same router, and bet_research, polymarket_edges, and polymarket_arbitrage all target prediction-market opportunity discovery. An agent must read the long descriptions carefully to distinguish them, and some variants are behaviorally identical today.

Naming Consistency3/5

All names are readable snake_case, but the verb_noun convention is not consistently applied: some are clean verb phrases like validate_claim and discover_tools, while others are noun phrases like entity_profile, recent_alerts, or simap_project. The prefixed groups (polymarket_*, pipeworx_*) help, but the overall naming style is mixed.

Tool Count2/5

34 tools is above the heavy range, and the set is inflated by redundant router variants, five overlapping Polymarket tools, and loosely related utilities like generate_llms_txt and scan_dependency. The server is named Simap but only three tools relate to Swiss procurement, making the scope feel bloated and misaligned.

Completeness4/5

For an information-retrieval-style server, the core workflows are well covered: discovery, routing, grounded answers, entity resolution, profiles, comparisons, fact-checking, subscriptions, and memory. The main gaps are minor, such as updating a subscription in place or deeper native Simap-specific actions, and those can be worked around.