Skip to main content
Glama
Upendrasengar

bitbucket-server-mcp

list_projects

Read-onlyIdempotent

List all Bitbucket projects you have access to, enabling discovery of project keys. Supports pagination and custom field selection for tailored responses.

Instructions

List all Bitbucket projects you have access to. Use this first to discover project keys. Supports custom field selection via the fields param ('*all' for full raw response, 'key,name' for a custom subset).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of projects to return (default: 25, max: 1000)
startNoStart index for pagination (default: 0).
fieldsNoComma-separated fields to return (dot notation for nested paths). Omit for a curated default; use '*all' for the full raw API response.
Behavior4/5

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

Annotations already indicate read-only and idempotent behavior. The description adds value by detailing the `fields` parameter behavior and pagination support, going beyond the schema.

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?

Remarkably concise—two sentences that are front-loaded with the purpose and key guidance. Every sentence adds value without waste.

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?

No output schema exists, but the description adequately covers the tool's purpose, parameters, and usage. It may lack details on return format, but for a list tool with pagination, it is sufficient.

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

Parameters4/5

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

All parameters are described in the schema (100% coverage). The description enhances understanding by providing usage examples for the `fields` parameter (`'*all'` and `'key,name'`).

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 verb (list), resource (Bitbucket projects), and intended use (discover project keys). It is specific and distinct from sibling tools that deal with repositories, pull requests, etc.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit guidance to use this tool first to discover project keys. While it does not list when not to use or alternatives, the context is clear given the sibling tools.

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/Upendrasengar/bitbucket-server-mcp'

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