identity-spoofing-detector
Auto-created from research: Monitors AI agent communications to detect and prevent identity spoofing attempts. [x402: 0.04 USDC on Base, pay-per-use]
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| input | Yes | entrada |
Auto-created from research: Monitors AI agent communications to detect and prevent identity spoofing attempts. [x402: 0.04 USDC on Base, pay-per-use]
| Name | Required | Description | Default |
|---|---|---|---|
| input | Yes | entrada |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the full behavioral burden. It discloses that the tool monitors and can 'prevent' (implying possible action) and mentions a pay-per-use cost, but omits critical details such as required authentication, whether it blocks or merely alerts, what it returns, and how it operates.
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?
The description is short and front-loads the function before the payment note. However, the prefix 'Auto-created from research:' adds noise without value, and the brevity comes at the cost of under-specification rather than true conciseness.
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 security detection tool with a required input parameter, no output schema, and no annotations, the description is far from complete. It lacks details on input format, operational behavior, and return values, leaving the agent unable to invoke it correctly.
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?
The single parameter is named 'input' with schema description 'entrada' (Spanish for 'input'), which is semantically empty. The description does not clarify what the input should contain (e.g., agent messages, identity tokens), so the agent gains no understanding of how to provide data.
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 states a specific action ('Monitors AI agent communications to detect and prevent identity spoofing attempts'), which is clear and distinguishes it from generic trust or attestation tools. It does not explicitly compare itself to siblings, but the verb+resource pairing is strong.
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?
No guidance is given on when to use this tool versus alternatives, nor are any prerequisites or exclusions mentioned. The only implicit signal is the monitoring purpose, which is insufficient for selection among many security siblings.
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.