Skip to main content
Glama
marerem

longmem

confirm_solution

Auto-save a working solution with context from your last similar search. Just provide the solution text; problem metadata is filled automatically.

Instructions

Auto-save a confirmed solution using context from the last search_similar call.

Call this after solving a problem instead of save_solution — you only need to provide the solution text. Problem description, category, tags, and language are taken automatically from the last search_similar call.

If save_solution was already called manually this session, this is a no-op (no duplicate will be created).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
solutionYesThe solution that worked. Include code, commands, or steps. Problem metadata (category, tags, language) are filled in automatically from the last search_similar call.
projectNoRepository or workspace name this was solved in.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Discloses auto-filling of problem metadata and no-op behavior, but lacks details on failure modes or side effects beyond 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 paragraphs front-load key information with no wasted words.

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?

Covers all essential aspects: purpose, when to use, auto-fill behavior, duplicate prevention, and parameter meanings.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has full coverage; description adds context about auto-fill and no-op, enhancing understanding of the 'solution' and 'project' parameters.

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 clearly states the tool auto-saves a confirmed solution using context from the last search_similar call and distinguishes itself from save_solution.

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?

Explicitly says to call after solving a problem instead of save_solution, and mentions no-op behavior if save_solution was already called.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/marerem/longmem'

If you have feedback or need assistance with the MCP directory API, please join our Discord server