AISkills402
Server Details
Humanize AI-written English. Facts and length kept. Paid per successful run over x402 (testnet).
- Status
- Healthy
- Uptime
- 100.0% over 41 days
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
TDQS
Scored across 2 tools
The two tools, get_skill and search_skills, have overlapping purposes but can be partially distinguished: one implies retrieval by identifier, the other implies discovery via query. Without descriptions, the boundary is unclear, and an agent might not know which to use for a given task.
Both tool names follow a consistent verb_noun pattern: 'get' and 'search' are both verbs in the same style, and 'skill' is the shared noun. Minor deviation is that 'search' is an action while 'get' is also an action, but the pattern is predictable.
With only two tools, the server feels minimal and may be too thin for a skills domain. Two tools can be appropriate if the scope is narrow, but without descriptions it is hard to justify whether these two cover enough functionality.
The surface appears to support searching and fetching individual skills but lacks obvious operations such as creating, updating, deleting, or listing skills. This creates potential dead ends for workflows that require full lifecycle management.
Available Tools
2 toolsget_skillDInspect
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_skillsDInspect
| Name | Required | Description | Default |
|---|---|---|---|
| query | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
2 tool updates
- Removed
execute_humanize - Removed
execute_humanize_long
4 tool updates
- First observed
execute_humanize - First observed
execute_humanize_long - First observed
get_skill - First observed
search_skills
Related MCP Connectors
Transform AI-generated text into natural, human-sounding content that bypasses AI detectors.
Rewrite AI-generated text so it reads as human, in a persona's voice.
AI humanizer for MCP clients. Rewrites AI text so it reads naturally and sounds human.
Score and rewrite AI-assisted prose while preserving names, numbers, quotes, links, and facts.
Related MCP Servers
AlicenseAqualityCmaintenanceTransform AI-generated text into natural, human-sounding content that successfully bypasses AI detectors.138 npmApache 2.0- AlicenseCqualityDmaintenanceDetects AI-generated content and transforms robotic text into natural, human-like writing while improving grammar, readability, and preserving key terminology.128 npm3MIT
- AlicenseCqualityCmaintenanceAI text humanization and rewriting tools powered by Ryter Pro API.21MIT
- AlicenseCqualityDmaintenanceHelps refine AI-generated content to sound more natural and human-like. Built with advanced AI detection and text enhancement capabilities.128 npm59MIT
Glama MCP Gateway
Add one secure layer between your agents and this server.