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financialagentmonitoring

Auto-created from research: A tool to monitor and manage the financial activities of autonomous AI agents in financial markets. [x402: 0.01 USDC on Base, pay-per-use]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesentrada

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.2/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden. It discloses a payment model ('0.01 USDC on Base, pay-per-use'), which is useful context, but says nothing about authentication requirements, side effects, reversibility, or what 'manage' entails. For a tool dealing with financial activities, this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short, but it opens with the meta-prefix 'Auto-created from research:', which is noise and delays the actual purpose. The core sentence is front-loaded reasonably, and the pricing tag is compact. Overall it is adequate but not optimized.

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

Completeness2/5

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

Given one unhelpful parameter, no output schema, and no annotations, the description should do much more to explain the tool's operation and input. Instead it provides only a broad purpose and a cost note. An agent cannot reliably invoke this tool based on the available information.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has one parameter named 'input' with the description 'entrada' (Spanish for input), which provides no semantic meaning. The tool description does not mention the input at all, so an agent has no idea what to pass. The 100% schema coverage is misleading because it only covers a trivial and unhelpful field label.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a broad purpose: 'monitor and manage the financial activities of autonomous AI agents in financial markets.' This is a recognizable resource area with verbs, but 'monitor and manage' is vague and does not distinguish it from siblings such as agent-payment-trust, agent-to-agent-finance-verification, or agent-trust-oracle. It is more than a tautology but lacks specificity about what operations are actually performed.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus alternatives. The description does not mention prerequisites, contexts, or exclusions, leaving the agent to infer usage from the vague purpose. The x402 pricing note indicates a payment model but does not help with tool selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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