Skip to main content
Glama
santoshray02

CSV Editor

by santoshray02

load_csv_from_url

Load a CSV file from a given URL into the CSV Editor for processing. Supports custom encoding and delimiter settings.

Instructions

Load a CSV file from a URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
encodingNoutf-8
delimiterNo,
session_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior1/5

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

No annotations exist, so the description must fully convey behavioral traits. It only states 'Load a CSV file from a URL' without revealing side effects (e.g., network call, file size limits, error handling, or whether it modifies session state). This is critically insufficient for a tool that likely performs an external fetch.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

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

The description is extremely concise (one short sentence), but at the cost of missing critical details. It is not well-structured for an AI agent, lacking any breakdown of behavior or parameters. While brevity can be good, here it borders on under-specification.

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?

Despite the presence of an output schema (which reduces the need to describe return values), the description fails to cover basic operational context such as how the URL is processed, what happens on failure, or how the session_id parameter affects behavior. With 4 parameters and no annotations, the description is notably incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not elaborate on any parameter. The meaning of 'url', 'encoding', 'delimiter', and 'session_id' is completely absent. The default values exist in the schema but their purpose or constraints are not explained, leaving the agent to guess.

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 ('Load') and the resource ('CSV file from a URL'). It is specific about loading from a URL, which distinguishes it from other file sources. However, it does not explicitly contrast with sibling tools that load CSV from other sources, so it lacks strong differentiation.

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 such as 'load_csv' or 'load_csv_from_content'. There is no mention of prerequisites, limitations, or context (e.g., URL validation, network requirements), leaving the agent without decision support.

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/santoshray02/csv-editor'

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