Skip to main content
Glama

Automaton Token Safety

sentiment_analysis

PAID 0.001 USDC/call. Web3 token risk, security checks, and sentiment scoring with signed verdict.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
assetYesAsset symbol (e.g. ETH, AERO, VIRTUAL)
paymentNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
Behavior3/5

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

With no annotations, the description carries full burden; it does disclose that the call is paid (0.001 USDC) and returns a signed verdict, which is genuinely useful. However, it omits whether payment is required, what happens on non-payment, auth requirements, or how the verdict is signed.

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

Conciseness4/5

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

Two short fragments with the price front-loaded, no filler. It is efficient, though the compressed style sacrifices the clarity it could have used elsewhere.

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?

No output schema and no annotations mean the description should explain return shape, payment mechanics, and error behavior. It gives only a one-line hint ('signed verdict') and leaves the payment parameter and failure modes unexplained for a paid, multi-purpose tool.

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

Parameters2/5

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

Schema coverage is 50%: 'asset' is documented in the schema, but 'payment' has no description anywhere. The mention of '0.001 USDC/call' hints that payment exists but gives no format, token address, or whether it is required (it is not in the required list), so the description fails to compensate for the gap.

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 bundles three functions ('token risk, security checks, and sentiment scoring') which are vague and overlap heavily with siblings like token_scan, security_scan, and liquidity_risk. It does not differentiate itself from those siblings, leaving the agent unable to tell which risk tool to pick.

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?

No when-to-use guidance and no mention of alternatives, despite a crowded sibling set of risk/security tools (token_scan, security_scan, approval_risk, liquidity_risk). The only context given is pricing, which does not help selection.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources