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OSRS MCP Server

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search_npctypes

Search and retrieve NPC definitions from the npctypes.txt file on the OSRS MCP Server. Use a query to find specific characters and manage results with pagination for efficient data access.

Instructions

Search the npctypes.txt file for NPC (non-player character) definitions.

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 all search_* tools including search_npctypes. Parses args, determines npctypes.txt filename, checks existence, and calls searchFile function.
    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);
  • index.ts:334-336 (registration)
    Tool registration/definition in getToolDefinitions() function, returned by ListTools handler.
        name: "search_npctypes",
        description: "Search the npctypes.txt file for NPC (non-player character) definitions.",
    },
  • Input schema (FileSearchSchema) used for validating arguments in search_* tools including search_npctypes.
    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 reads the npctypes.txt file, searches for query (case-insensitive, spaces to underscores), paginates results, and formats as ID-value pairs.
    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 but doesn't disclose behavioral traits like whether this is read-only (likely, but not stated), what format results return, if there are rate limits, authentication needs, or how the search operates (exact match, substring, case sensitivity). The description is minimal and lacks essential 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.

Conciseness5/5

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

The description is a single, efficient sentence with zero wasted words. It's appropriately sized for a simple search tool and front-loads the core purpose immediately, making it easy to parse quickly.

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 and no output schema, the description is incomplete for a search tool with 3 parameters. It doesn't explain what the search returns, how results are structured, or any behavioral aspects like pagination details or error handling. For a tool that likely returns complex NPC definition data, this leaves significant gaps in understanding.

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%, with all parameters well-documented in the schema itself (query, page, pageSize). The description adds no additional parameter semantics beyond implying a search term is needed, so it meets the baseline of 3 where the schema does the heavy lifting without extra value from the description.

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 ('npctypes.txt file for NPC definitions'), making the purpose understandable. However, it doesn't differentiate from sibling tools like 'search_data_file' or other search_* tools, which all search different file types but share similar functionality patterns.

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 is provided on when to use this tool versus alternatives. With many sibling search tools (search_data_file, search_iftypes, search_invtypes, etc.), the description doesn't explain that this specifically searches NPC type definitions rather than other data types, nor does it mention any prerequisites or constraints for usage.

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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