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search_seqtypes

Search animation sequence definitions in the seqtypes.txt file to quickly locate relevant data using a query term and pagination options.

Instructions

Search the seqtypes.txt file for animation sequence 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

  • index.ts:346-348 (registration)
    Registration of the 'search_seqtypes' tool in getToolDefinitions(), listing it among other search tools with its description.
        name: "search_seqtypes",
        description: "Search the seqtypes.txt file for animation sequence definitions.",
    },
  • Handler logic in the CallToolRequestSchema switch statement. Maps 'search_seqtypes' to 'seqtypes.txt' and invokes the shared searchFile function with pagination.
    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);
  • FileSearchSchema: Zod schema used for input validation of search_* tools including search_seqtypes, as selected by getSchemaForTool when toolName.startsWith('search_').
    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")
    });
  • searchFile helper function: Core implementation that performs case-insensitive search in the specified file (seqtypes.txt for this tool), supports pagination, formats results 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?

With no annotations provided, the description carries full burden but only states the basic action. It doesn't disclose behavioral traits like whether this is a read-only operation, if it requires authentication, rate limits, what happens on no matches, or the format of returned results. For a search tool with zero annotation coverage, this is insufficient.

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 waste. It's appropriately sized for a search tool and front-loads the core purpose without unnecessary elaboration.

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 pagination parameters. It doesn't explain what 'animation sequence definitions' are, the return format, error conditions, or how results are structured. The agent lacks sufficient context to use this tool effectively.

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 all three parameters (query, page, pageSize). The description adds no additional parameter semantics beyond what's in the schema, such as search syntax examples or pagination behavior. Baseline 3 is appropriate when schema does all the work.

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 ('seqtypes.txt file for animation sequence definitions'), providing specific verb+resource pairing. However, it doesn't differentiate from sibling tools like 'search_iftypes' or 'search_invtypes' which likely search similar file types, missing explicit sibling distinction.

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. The description doesn't mention when to choose this over other search tools like 'search_data_file' or 'search_iftypes', nor does it specify any prerequisites or contextual triggers 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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