Skip to main content
Glama

paste

Read-only

Merge corresponding lines from multiple files side by side using a configurable delimiter. Combine columns into a table. Read-only operation returns JSON.

Instructions

Merge corresponding lines from multiple files side by side, separated by a configurable delimiter (default tab). Read-only, no side effects. Returns JSON with merged lines by default; use --raw for plain output. Use to combine columns from separate files into a table. Not for key-based joining — use 'join' for field-matched merging. Not for simple concatenation — use 'cat'. See also 'join', 'cat'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rawNoWrite pasted text without a JSON envelope.
pathsNoFiles to merge, or '-' for stdin. Defaults to stdin.
encodingNoText encoding (default: utf-8). Use 'auto' for BOM/autodetection.utf-8
delimiterNoDelimiter inserted between columns.
max_linesNoMaximum JSON lines to emit.
show_encodingNoInclude encoding detection metadata in JSON result.
encoding_errorsNoHow to handle encoding errors (default: replace).replace
encoding_profileNoLocale-aware encoding fallback profile for auto-detection.
Behavior4/5

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

Description states 'Read-only, no side effects,' which aligns with readOnlyHint annotation. Adds context about default output format (JSON) and raw option. Does not discuss potential edge cases but sufficient given annotation coverage.

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?

Description is three concise sentences with no fluff. First sentence defines core function, second covers safety and output, third provides usage guidance. Well-structured and front-loaded.

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?

Given 8 parameters fully documented in schema, description covers purpose, usage guidelines, and safety. No output schema but return format is described. Could add error handling info but not necessary for core use.

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 covers all 8 parameters with descriptions (100% coverage). Description adds marginal value by summarizing default delimiter and output format but does not elaborate on parameter details. Baseline score of 3 is appropriate.

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 the tool merges corresponding lines from multiple files side by side with configurable delimiter. It distinguishes from sibling tools like 'join' (key-based merging) and 'cat' (simple concatenation).

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?

Explicitly tells when to use ('combine columns from separate files into a table') and when not to (not for key-based joining, not for simple concatenation), with specific alternative tool names ('join', 'cat').

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/caseSHY/AI-CLI'

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