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search_varptypes

Query the varptypes.txt file to identify player variables (varps) tracking in-game state and progress. Supports paginated results for efficient exploration.

Instructions

Search the varptypes.txt file for player variables (varps) that store player state and progress.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number for pagination
pageSizeNoNumber of results per page
queryYesThe term to search for in the file

Implementation Reference

  • Shared handler logic for search_varptypes and other search_* tools: parses arguments using FileSearchSchema, derives filename 'varptypes.txt', checks existence, invokes searchFile helper with pagination, and returns formatted results.
    case "search_varptypes":
    case "search_varbittypes":
    case "search_iftypes":
    case "search_invtypes":
    case "search_loctypes":
    case "search_npctypes":
    case "search_objtypes":
    case "search_rowtypes":
    case "search_seqtypes":
    case "search_soundtypes":
    case "search_spottypes":
    case "search_spritetypes":
    case "search_tabletypes":
        const fileSearchArgs = getSchemaForTool(name).parse(args) as { query: string; page?: number; pageSize?: number };
        const { query, page: filePage = 1, pageSize: filePageSize = 10 } = fileSearchArgs;
        const filename = `${name.replace('search_', '')}.txt`;
        const filePath = path.join(getDataDir(), filename);
        
        if (!fileExists(filename)) {
            return responseToString({ error: `${filename} not found in data directory` });
        }
        
        const fileResults = await searchFile(filePath, query, filePage, filePageSize);
        return responseToString(fileResults);
  • Zod schema used for input validation of search_varptypes tool calls, defining query, page, and pageSize parameters.
    const FileSearchSchema = z.object({
        query: z.string().describe("The term to search for in the file"),
        page: z.number().int().min(1).optional().default(1).describe("Page number for pagination"),
        pageSize: z.number().int().min(1).max(100).optional().default(10).describe("Number of results per page")
    });
  • index.ts:313-316 (registration)
    Tool registration entry in getToolDefinitions() function, returned by listTools, providing name and description.
    {
        name: "search_varptypes",
        description: "Search the varptypes.txt file for player variables (varps) that store player state and progress.",
    },
  • Primary helper function implementing file search logic: reads file line-by-line, performs case-insensitive matching (with space-to-underscore normalization), extracts ID-value pairs, applies pagination, and structures results.
    async function searchFile(filePath: string, searchTerm: string, page: number = 1, pageSize: number = 10): Promise<any> {
        //replace spaces with underscores
        searchTerm = searchTerm.replace(" ", "_");
        return new Promise((resolve, reject) => {
            if (!fs.existsSync(filePath)) {
                reject(new Error(`File not found: ${filePath}`));
                return;
            }
    
            const results: {line: string, lineNumber: number}[] = [];
            const fileStream = fs.createReadStream(filePath);
            const rl = readline.createInterface({
                input: fileStream,
                crlfDelay: Infinity
            });
    
            let lineNumber = 0;
            
            rl.on('line', (line) => {
                lineNumber++;
                if (line.toLowerCase().includes(searchTerm.toLowerCase())) {
                    results.push({ line, lineNumber });
                }
            });
    
            rl.on('close', () => {
                const totalResults = results.length;
                const totalPages = Math.ceil(totalResults / pageSize);
                const startIndex = (page - 1) * pageSize;
                const endIndex = startIndex + pageSize;
                const paginatedResults = results.slice(startIndex, endIndex);
    
                // Process the results to extract key-value pairs if possible
                const formattedResults = paginatedResults.map(result => {
                    // Try to format as key-value pair (common for ID data files)
                    const parts = result.line.split(/\s+/);
                    if (parts.length >= 2) {
                        const id = parts[0];
                        const value = parts.slice(1).join(' ');
                        return {
                            ...result,
                            id,
                            value,
                            formatted: `${id}\t${value}`
                        };
                    }
                    return result;
                });
    
                resolve({
                    results: formattedResults,
                    pagination: {
                        page,
                        pageSize,
                        totalResults,
                        totalPages,
                        hasNextPage: page < totalPages,
                        hasPreviousPage: page > 1
                    }
                });
            });
    
            rl.on('error', (err) => {
                reject(err);
            });
        });
    }
  • Schema selection logic in getSchemaForTool() that maps search_varptypes to FileSearchSchema for input validation.
    if (toolName.startsWith("search_")) {
        return FileSearchSchema;
    }
    throw new Error(`Unknown tool: ${toolName}`);
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions searching a specific file ('varptypes.txt') but doesn't disclose behavioral traits like whether this is a read-only operation, if it requires authentication, rate limits, or what the search returns (e.g., format, pagination details). The description is minimal and lacks critical operational context.

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 a single, efficient sentence that front-loads the core purpose. It avoids unnecessary words and gets straight to the point, though it could be slightly more informative given the lack of annotations and output schema.

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

Completeness2/5

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

Given the complexity (search operation with pagination), no annotations, and no output schema, the description is incomplete. It doesn't explain what the search returns (e.g., list of varps with details), how results are structured, or any error conditions. This leaves significant gaps for an AI agent to understand the tool's behavior.

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 fully documents the three parameters (query, page, pageSize). The description adds no additional parameter semantics beyond implying the 'query' searches within the file content. Baseline 3 is appropriate since the schema handles parameter documentation adequately.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Search') and target resource ('varptypes.txt file for player variables'), specifying that these variables store player state and progress. It distinguishes from some siblings (e.g., 'search_iftypes') by mentioning 'player variables', but doesn't explicitly differentiate from similar tools like 'search_varbittypes' or 'search_data_file'.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention any prerequisites, constraints, or compare it to sibling tools like 'search_data_file' (which might search other files) or 'search_varbittypes' (which searches related variable types).

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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