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List Projects

list_projects
Read-onlyIdempotent

List the Loadster projects the current token can access, each with its id and name. Every other tool takes one of these ids. When the team has no projects, the result says so and points at create_project. Prefer an existing project: call list_projects first, and create a new one only if the team has none or the user explicitly asked for one. When unsure, ask the user before creating.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds non-annotation behavior: the result carries id and name, and the empty-team case returns a message that points at create_project. It does not mention ordering or pagination, but for a zero-arg list tool that is a minor gap.

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?

Front-loaded with the core purpose, then the empty-case behavior, then the creation preference. The last two sentences edge toward guidance for a different tool (create_project), which is useful but slightly beyond this tool's remit; still, nothing is redundant.

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?

With no output schema, the description correctly fills the gap by describing what comes back (id, name) and the empty-result behavior. For a no-parameter read-only list tool, an agent has everything it needs to call it correctly and interpret the response.

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?

The tool takes zero parameters, so the schema has nothing to explain and the baseline is 4. The description still clarifies the shape of each returned entry (id and name), which is the only 'input-like' contract an agent needs here.

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?

States a specific verb and resource ('List the Loadster projects'), scopes it ('the current token can access'), and names the returned fields ('each with its id and name'). An agent can distinguish it from create_project and the other list_* siblings without opening any schema.

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

Usage Guidelines5/5

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

Explicitly routes the agent: 'call list_projects first', create only if the team has none or the user asked, and 'ask the user before creating' when unsure. The alternative (create_project) is named along with the exact condition that selects it.

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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