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List projects

northflank_list_projects
Read-only

List projects for the authenticated token (or a specific team). Good first call to discover project ids. GET /v1/projects (team: GET /v1/teams/{teamId}/projects).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number to access.
cursorNoCursor from a previous page's pagination.cursor to fetch the next page.
teamIdNoOptional team id to scope to a team's projects.
per_pageNoResults per page (max 100).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

Annotations already provide readOnlyHint=true. The description adds useful context about token scope and the team-specific endpoint, but does not disclose pagination behavior beyond what the schema already documents.

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?

Two concise, front-loaded sentences convey the purpose, scope, use case, and endpoint with no wasted words.

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?

The description is sufficient for a simple list operation with no required parameters and read-only annotations. It implies the response contains project IDs, though it does not detail the return shape, which is acceptable given the tool's simplicity.

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 description coverage is 100%, so all parameters are already documented. The description adds no extra parameter-level meaning, matching the baseline.

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?

Description clearly states the verb (List), resource (projects), and scope (authenticated token or a team). It also names the HTTP endpoint, which distinguishes it from sibling get_/list_ tools.

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?

Explicitly frames the tool as a good first call for discovering project IDs, which gives concrete usage context. It does not explicitly mention alternatives like get_project for single-project lookups, so there are no exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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