Skip to main content
Glama
Sorsa-io

Sorsa MCP

Official
by Sorsa-io

check_comment

Verify if a specific user replied to a given tweet. Provides reply content and confirmation.

Instructions

Check whether a user has replied under a given tweet. Returns commented: true plus the reply if found.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tweet_linkYesFull URL of the tweet to check.
usernameNoHandle of the user being checked.
user_linkNoProfile URL of the user being checked.
user_idNoNumeric ID of the user being checked.
Behavior2/5

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

The description discloses the return format but does not mention if the operation is read-only, error behavior when not found, or any prerequisites. With no annotations, more behavioral disclosure is needed.

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 front-load the action and return value. No redundant words; every sentence serves a purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple check tool, the description covers the basic purpose and return. However, it lacks details on the structure of the 'reply' field, error handling, and does not provide an output schema to compensate. Adequate but not fully comprehensive.

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 covers 100% of parameters with descriptions. The tool description adds no additional meaning beyond what the schema already provides, so baseline score of 3 is 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 clearly states the action ('Check whether a user has replied') and the resource ('under a given tweet'). It distinguishes from siblings like check_follow, check_quoted, and check_retweet by specifying the relation (reply).

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

Usage Guidelines3/5

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

The description implies when to use (to check a reply), but provides no explicit guidance on when not to use or comparison with alternatives like get_tweet_comments, which might also retrieve replies.

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/Sorsa-io/sorsa-mcp'

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