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list_comments

Read the comments on one task in the connected LoopGantt ACCOUNT (requires a LoopGantt API key), newest first — to pick up a handoff or see what a person decided.

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": {
      "taskId": "<taskId>"
    },
    "name": "list_comments"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNoHow many comments (default 50)
beforeNoOlder page by time (older servers): the before value a previous reply gave you
cursorNoOlder page: the cursor value a previous reply gave you
taskIdYesTask id from list_tasks

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior3/5

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

With no annotations, the description still discloses that this is a read operation, requires a LoopGantt API key, is scoped to one task, and returns comments newest first. It does not describe pagination behavior, permissions beyond the API key, rate limits, or what fields the comments contain, so the behavior is only partly transparent.

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 front-loaded sentence with no wasted wording. The account and API-key detail is parenthetical, and the use cases are appended clearly.

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 four-parameter read tool with full schema coverage, the description covers purpose, scope, authentication, ordering, and intended use. It lacks return-value detail and pagination explanation, but the schema already documents pagination parameters and there is no output schema requiring description coverage.

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 the schema already explains taskId, limit, before, and cursor. The description adds useful context about task scope and ordering but does not add parameter-level meaning beyond what the schema provides, making the baseline 3 appropriate.

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 uses a specific verb and resource: "Read the comments on one task" and adds account scope plus newest-first ordering. It clearly distinguishes this read operation from the sibling add_comment tool.

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?

It gives concrete usage contexts—"to pick up a handoff or see what a person decided"—which tells the agent when this tool is useful. It does not explicitly state when not to use it or name other alternatives beyond the implicit contrast with add_comment.

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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