x402-ai-summarize
AI Summarize: Summarize a text with AI.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | No | Text to process | |
| content | No | Content to process |
AI Summarize: Summarize a text with AI.
| Name | Required | Description | Default |
|---|---|---|---|
| text | No | Text to process | |
| content | No | Content to process |
Changes observed during successful MCP inspections.
Input schema / properties / textAdded value: +{
+ "description": "Text to process",
+ "type": "string"
+}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full disclosure burden, yet it says nothing about output format, summary length, model used, rate limits, or the fact that these x402 tools are paid calls. 'Summarize with AI' is essentially all the behavioral information given.
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?
It is short and front-loaded, which is good, but the 'AI Summarize:' prefix merely restates the tool title and is immediately repeated by the following clause. Roughly half the sentence is redundant rather than additive.
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?
For a tool with zero annotations and no output schema, the description should at minimum signal what a caller receives back. It is missing usage context, output expectations, and any distinction between the two input fields, so an agent has an incomplete picture of the tool.
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?
Schema description coverage is 100% (both 'text' and 'content' are documented in the schema), so the baseline is 3. The description adds no clarification — notably it does not resolve why two near-identical input fields exist or which one takes precedence, which is the one ambiguity the description could have usefully addressed.
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?
The description gives a specific verb ('Summarize') and resource ('a text') and the 'with AI' qualifier hints at the intended behavior, distinguishing it from the plain x402-summarize sibling. However it never names or contrasts with any of the dozens of x402-ai-* siblings, so differentiation is left to inference.
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?
There is no when-to-use guidance, no statement of when an agent should prefer this over x402-summarize, x402-ai-rewrite, or x402-ai-extract, and no prerequisites mentioned. The agent must guess from the name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.