Skip to main content
Glama
votelai
by votelai

add_task_comment

Append a comment to a task's activity timeline for client notes or updates, preserving existing auto-generated entries.

Instructions

Add a comment to a task's activity timeline. The comment is appended to the task's recent_comments array; auto-generated activity entries (field changes) are preserved. Example: 'Comment on task : spoke with client, will reschedule'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYesComment text
task_idYesTask UUID
Behavior4/5

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

No annotations are provided, so the description carries the burden. It reveals that comments are appended to the recent_comments array and that auto-generated activity entries are preserved, giving useful side-effect detail. It stops short of discussing auth, rate limits, or error behavior, but covers the essential mutation semantics.

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 two sentences plus an example. The main purpose is front-loaded in the first sentence, the second adds behavioral nuance, and the example is helpful without being verbose. 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?

For a simple two-parameter mutation tool with no output schema and no annotations, the description covers purpose, side effects, and usage example. It does not describe the return value or error cases, but these are not critical for such a straightforward operation. The key behavioral aspects are present.

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?

Schema coverage is 100% and both parameters are described. The description adds an example showing how to structure comment content ('Comment on task <id>: spoke with client...'), which clarifies intended formatting beyond the bare schema. This extra semantic guidance lifts it above 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?

The description starts with a specific verb and resource: 'Add a comment to a task's activity timeline.' It clearly distinguishes this from sibling tools like add_task_attachment or update_task by specifying the comment action and timeline context.

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?

The context is clear: use this tool to append a comment to a task's activity timeline. It does not explicitly exclude alternatives or name when-not-to-use, but the scope is well-defined enough for an agent to select it appropriately among task-related siblings.

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/votelai/votel-mcp'

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