Skip to main content
Glama
lin2000wl

Serena MCP Server

by lin2000wl

remove_project

Delete a project from Serena configuration to manage your coding workspace and maintain organized development environments.

Instructions

Removes a project from the Serena configuration.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_nameYesName of the project to remove.
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 states 'Removes' implying a destructive mutation, but doesn't disclose critical behavioral traits such as whether removal is irreversible, requires specific permissions, affects other configuration elements, or has side effects like data loss. This is inadequate for a mutation tool with zero 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?

The description is a single, clear sentence with zero wasted words. It's front-loaded with the core action and resource, making it highly efficient and easy to parse, which is ideal for conciseness.

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 the tool's complexity as a destructive mutation with no annotations and no output schema, the description is incomplete. It lacks details on behavior, usage context, and return values, making it insufficient for safe and effective tool invocation by an AI agent.

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?

The description adds no parameter semantics beyond what the input schema provides. With 100% schema description coverage (the 'project_name' parameter is fully documented in the schema), the baseline is 3. The description doesn't explain the parameter's role or constraints, so it doesn't add value.

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 ('Removes') and resource ('a project from the Serena configuration'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'delete_memory' or 'delete_lines', which also perform deletion operations on different resources, so it doesn't reach the highest score.

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 alternatives. It doesn't mention prerequisites (e.g., whether the project must exist or be inactive), consequences (e.g., if removal is permanent), or related tools like 'activate_project' for context, leaving the agent with no usage context.

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/lin2000wl/Serena-cursor-mcp'

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