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alga-psa-mcp

alga-psa-mcp

Official
by WYRE-AI

alga_projects_phases_list

Read-only

List every phase in a project by project ID, returning the complete unpaginated phase set for project planning and tracking.

Instructions

List all phases in a project. This list is not paginated.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "project_id": "<project_id>"
    },
    "name": "alga_projects_phases_list"
  }
}

Input Schema

NameRequiredDescriptionDefault
project_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds a real behavioral trait beyond the annotations — 'This list is not paginated' — telling the agent it receives the complete result set and need not handle paging. It does not mention ordering, empty-result behavior, or permission requirements, which keeps it out of 5 territory.

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 short sentences with zero filler, and the core purpose is front-loaded before the pagination note. Every sentence adds information.

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?

For a simple single-parameter read tool with annotations and no output schema, the definition covers purpose and the key result-shape fact (unpaginated). Only the parameter's format expectations and the returned fields' identity are left implicit, which is a minor gap at this complexity level.

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

Parameters2/5

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

Schema description coverage is 0%, so the description carries the burden, and it does little: 'in a project' only loosely connects to the single project_id parameter. It says nothing about the accepted identifier format, length limits, or whether an unknown project_id errors or returns an empty list, all of which the schema leaves undocumented.

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 pairs a specific verb with a specific resource and scope: 'List all phases in a project.' This distinguishes it from alga_projects_list and alga_projects_tasks_list by naming 'phases' rather than projects or tasks. It stops short of an explicit contrast with sibling tools, so a 4 rather than a 5.

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?

There is no when-to-use guidance, no stated prerequisite beyond the implied project_id, and no mention of when another tool (e.g., a tasks list) would be the better choice. Usage must be inferred entirely from the tool name and the phrase 'in a project'.

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