Skip to main content
Glama
Janani879

DPR MCP Server

by Janani879

edit_file

Overwrite existing file content in a workspace to apply AI-generated changes, enabling human review via Change Requests and Git-backed conflict detection.

Instructions

Edit (overwrite) an existing file within an active workspace.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes
contentYes
workspace_idYes
Behavior3/5

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

With no annotations, the description carries the full disclosure burden. The parenthetical "overwrite" usefully signals that the full content is replaced rather than patched, and "active workspace" names a precondition. However, it does not disclose behavior on missing files, error conditions, side effects beyond the file content, or what a successful call returns.

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

Conciseness4/5

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

A single, well-constructed sentence with no filler — every phrase ("Edit", "overwrite", "existing file", "active workspace") carries meaning and the key overwrite semantics are front-loaded in parentheses. It is appropriately economical, though the brevity inevitably sacrifices the usage and parameter guidance scored elsewhere.

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?

For a mutation tool with 3 required parameters, no annotations, no output schema, and no parameter descriptions, the description covers only the tool's action and two preconditions. An agent is left without error behavior, what happens when the file does not exist, whether the content must be complete, or how this interacts with workspace activation. It is adequate as a label but not as complete context.

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%, so the description carries full responsibility for explaining parameters, but it mentions none of them. The parameter names (workspace_id, path, content) are somewhat self-evident, yet there is no clarification of what format path should take, what workspace_id refers to, or that content replaces the entire file. The description does nothing to compensate for the bare schema.

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 states a specific verb ("Edit") plus an explicit overwrite semantic in parentheses, a clear resource ("an existing file"), and a scoping constraint ("active workspace"). This makes it distinguishable from siblings such as create_file, read_file, and delete_file, though it could more explicitly contrast with those alternatives.

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?

The description provides no guidance on when to use this tool versus create_file or delete_file, and no exclusions or alternatives are mentioned. The preconditions "existing file" and "active workspace" are implicitly stated but the agent is left to infer that edit_file should only be used when a file already exists and the workspace is active.

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/Janani879/DPR-Git-Backed-MCP-Collaboration-Server'

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