Skip to main content
Glama

AoT-light

Process reasoning tasks quickly by organizing atomic thoughts with simplified verification, optimized for time-sensitive brainstorming and problem-solving.

Instructions

A lightweight version of Atom of Thoughts (AoT) designed for faster processing and quicker results. This streamlined version sacrifices some depth of analysis for speed, making it ideal for time-sensitive reasoning tasks.

When to use:

  • Quick brainstorming sessions requiring atomic thought organization

  • Time-sensitive problem solving where speed is prioritized over exhaustive analysis

  • Simpler reasoning tasks that don't require deep decomposition

  • Initial exploration before using the full AoT for deeper analysis

  • Learning or demonstration purposes where response time is important

Key differences from full AoT:

  • Lower maximum depth (3 instead of 5) for faster processing

  • Simplified verification process

  • Immediate conclusion suggestion for high-confidence hypotheses

  • Reduced computational overhead and response payload

  • Optimized for speed rather than exhaustive analysis

Atom types and parameters are the same as the full AoT tool.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
atomIdYesUnique identifier for the atom
contentYesActual content of the atom
atomTypeYesType of atom
dependenciesYesList of IDs of other atoms this atom depends on
confidenceYesConfidence level of this atom (value between 0-1)
isVerifiedNoWhether this atom has been verified
depthNoDepth level of this atom (optional, defaults to 0)

Implementation Reference

  • Tool schema definition for 'AoT-light' including name, description, and input schema with properties for atomId, content, atomType, dependencies, confidence, etc.
    const AOT_LIGHT_TOOL: Tool = {
      name: "AoT-light",
      description: `A lightweight version of Atom of Thoughts (AoT) designed for faster processing and quicker results.
    This streamlined version sacrifices some depth of analysis for speed, making it ideal for time-sensitive reasoning tasks.
    
    When to use:
    - Quick brainstorming sessions requiring atomic thought organization
    - Time-sensitive problem solving where speed is prioritized over exhaustive analysis
    - Simpler reasoning tasks that don't require deep decomposition
    - Initial exploration before using the full AoT for deeper analysis
    - Learning or demonstration purposes where response time is important
    
    Key differences from full AoT:
    - Lower maximum depth (3 instead of 5) for faster processing
    - Simplified verification process
    - Immediate conclusion suggestion for high-confidence hypotheses
    - Reduced computational overhead and response payload
    - Optimized for speed rather than exhaustive analysis
    
    Atom types and parameters are the same as the full AoT tool.`,
      inputSchema: {
        type: "object",
        properties: {
          atomId: {
            type: "string",
            description: "Unique identifier for the atom"
          },
          content: {
            type: "string",
            description: "Actual content of the atom"
          },
          atomType: {
            type: "string",
            enum: ["premise", "reasoning", "hypothesis", "verification", "conclusion"],
            description: "Type of atom"
          },
          dependencies: {
            type: "array",
            items: {
              type: "string"
            },
            description: "List of IDs of other atoms this atom depends on"
          },
          confidence: {
            type: "number",
            minimum: 0,
            maximum: 1,
            description: "Confidence level of this atom (value between 0-1)"
          },
          isVerified: {
            type: "boolean",
            description: "Whether this atom has been verified"
          },
          depth: {
            type: "number",
            description: "Depth level of this atom (optional, defaults to 0)"
          }
        },
        required: ["atomId", "content", "atomType", "dependencies", "confidence"]
      }
    };
  • src/index.ts:771-773 (registration)
    Registration of 'AoT-light' tool in the ListToolsRequestSchema handler by including AOT_LIGHT_TOOL in the tools array.
    server.setRequestHandler(ListToolsRequestSchema, async () => ({
      tools: [AOT_TOOL, AOT_LIGHT_TOOL, ATOM_COMMANDS_TOOL],
    }));
  • Dispatch handler in CallToolRequestSchema: if name === 'AoT-light', calls atomLightServer.processAtom(request.params.arguments).
    } else if (request.params.name === "AoT-light") {
      return atomLightServer.processAtom(request.params.arguments);
  • AtomOfThoughtsLightServer class extending AtomOfThoughtsServer, with constructor setting maxDepth=3 and overridden processAtom method implementing the lightweight tool logic.
    class AtomOfThoughtsLightServer extends AtomOfThoughtsServer {
      constructor() {
        // Lower max depth for faster processing
        super(3);
      }
    
      // Override to simplify the verification process
      public processAtom(input: unknown): { content: Array<{ type: string; text: string }>; isError?: boolean } {
        try {
          const validatedInput = this.validateAtomData(input);
          
          // Store the atom
          this.atoms[validatedInput.atomId] = validatedInput;
          
          // Add to order if it's new
          if (!this.atomOrder.includes(validatedInput.atomId)) {
            this.atomOrder.push(validatedInput.atomId);
          }
    
          // Format and display the atom with simplified output
          const formattedAtom = this.formatAtom(validatedInput);
          console.error(formattedAtom);
    
          // Quick verification - if verification atom, immediately verify dependencies
          if (validatedInput.atomType === 'verification' && validatedInput.isVerified) {
            validatedInput.dependencies.forEach(depId => {
              if (this.atoms[depId]) {
                this.verifyAtom(depId, true);
              }
            });
          }
    
          // Faster conclusion suggestion - if hypothesis with high confidence, suggest conclusion immediately
          if (validatedInput.atomType === 'hypothesis' && validatedInput.confidence >= 0.8) {
            this.suggestConclusion(validatedInput);
          }
    
          // Simplified termination check
          const shouldTerminate = this.shouldTerminate();
          const bestConclusion = shouldTerminate ? this.getBestConclusion() : null;
          
          // Basic response with less processing
          return {
            content: [{
              type: "text",
              text: JSON.stringify({
                atomId: validatedInput.atomId,
                atomType: validatedInput.atomType,
                isVerified: validatedInput.isVerified,
                confidence: validatedInput.confidence,
                atomsCount: Object.keys(this.atoms).length,
                bestConclusion: bestConclusion ? {
                  atomId: bestConclusion.atomId,
                  content: bestConclusion.content,
                  confidence: bestConclusion.confidence
                } : null
              }, null, 2)
            }]
          };
        } catch (error) {
          return {
            content: [{
              type: "text",
              text: JSON.stringify({
                error: error instanceof Error ? error.message : String(error),
                status: 'failed'
              }, null, 2)
            }],
            isError: true
          };
        }
      }
    }
  • Creation of atomLightServer instance: const atomLightServer = new AtomOfThoughtsLightServer(); used by the AoT-light handler.
    const atomLightServer = new AtomOfThoughtsLightServer();
Behavior4/5

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

With no annotations provided, the description carries full burden and does well by disclosing key behavioral traits: it's optimized for speed with 'lower maximum depth (3 instead of 5),' 'simplified verification process,' 'immediate conclusion suggestion,' and 'reduced computational overhead.' However, it doesn't mention potential limitations like accuracy trade-offs or error handling.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with clear sections (overview, when to use, key differences) and every sentence adds value. However, it could be more front-loaded by integrating the 'When to use' points into the opening paragraph for quicker scanning, and some phrasing is slightly verbose (e.g., 'Learning or demonstration purposes where response time is important').

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 tool with 7 parameters, 100% schema coverage, no annotations, and no output schema, the description provides strong contextual completeness by explaining the tool's purpose, use cases, and behavioral differences from siblings. The main gap is lack of output information, but given the schema handles inputs well and the description covers operational context, it's mostly complete.

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 the schema already documents all 7 parameters thoroughly. The description adds no parameter-specific information beyond stating 'Atom types and parameters are the same as the full AoT tool,' which merely references the schema without adding semantic value. Baseline 3 is appropriate when schema does the heavy lifting.

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 this is a 'lightweight version of Atom of Thoughts (AoT) designed for faster processing and quicker results' with 'streamlined version sacrifices some depth of analysis for speed.' It explicitly distinguishes from its sibling 'AoT' by being a faster alternative, and from 'atomcommands' by focusing on thought organization rather than commands.

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 'When to use' guidance with five specific scenarios (e.g., 'Quick brainstorming sessions,' 'Time-sensitive problem solving'), and includes a 'Key differences from full AoT' section that explains when to choose this over the sibling tool. It clearly delineates appropriate use cases versus alternatives.

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/kbsooo/MCP_Atom_of_Thoughts'

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