Skip to main content
Glama

search_varptypes

Identify player variables (varps) in the varptypes.txt file to track player state and progress in Old School RuneScape. Search by specific query with pagination for efficient navigation.

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

  • Handler for search_varptypes (shared with other search_* tools): parses args, constructs varptypes.txt path, checks existence, calls searchFile helper, returns 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 { query, page: filePage = 1, pageSize: filePageSize = 10 } = FileSearchSchema.parse(args);
        const filename = `${name.replace('search_', '')}.txt`;
        const filePath = path.join(DATA_DIR, filename);
        
        if (!fileExists(filename)) {
            return responseToString({ error: `${filename} not found in data directory` });
        }
        
        const fileResults = await searchFile(filePath, query, filePage, filePageSize);
        return responseToString(fileResults);
  • index.ts:259-261 (registration)
    Registration of the search_varptypes tool in ListTools response, including name, description, and input schema reference.
    name: "search_varptypes",
    description: "Search the varptypes.txt file for player variables (varps) that store player state and progress.",
    inputSchema: convertZodToJsonSchema(FileSearchSchema),
  • Input schema (FileSearchSchema) used by search_varptypes and other search tools for validation.
    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")
  • Core searchFile helper function that performs file search with pagination, formatting for ID-value pairs, used by search_varptypes handler.
    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);
            });
        });
    }
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 file but doesn't disclose behavioral traits like pagination behavior (implied by parameters), rate limits, authentication needs, error conditions, or what the search returns (structure/format). The description is minimal beyond the basic operation.

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?

Single sentence, zero waste, front-loaded with the core action. Every word earns its place by specifying the file, target, and purpose without redundancy.

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 no annotations, no output schema, and a search operation with pagination parameters, the description is incomplete. It doesn't explain what the search returns, how results are structured, or important behavioral context like pagination details, making it inadequate for a tool with 3 parameters and no structured output documentation.

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 parameters are fully documented in the schema. The description adds no additional meaning beyond implying 'query' searches within the file content, which is already clear from the schema. Baseline 3 is appropriate as the schema does the heavy lifting.

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 what varps store ('player state and progress'). It distinguishes from generic file tools but doesn't explicitly differentiate from similar search_*type tools like search_varbittypes.

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?

No guidance on when to use this tool versus alternatives like search_data_file or other search_*type tools. The description implies it's for searching varps specifically, but doesn't mention prerequisites, exclusions, or comparative use cases with siblings.

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

Related 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/JayArrowz/mcp-osrs'

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