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Golden Kog token risk analyst by Kognai

Analyze a token

analyze_token
Read-only

One token risk and structure analysis: risk level and points from a published rule table (a regulated issuer's asset, such as USDC or an xStock, is ISSUER CONTROLLED: its issuer powers listed as expected controls with the issuer named, not as points), every flag with its evidence, the measured facts (authorities, holders outside pools, launch bundle and dev wallet, liquidity and LP, chart structure in numbers) and a short text. Risk and structure facts, never a trading signal. Paid: partner key or x402.

Input Schema

NameRequiredDescriptionDefault
chainYessolana (pump.fun ecosystem first) or base
tokenYesthe token address: a Solana mint (base58) or a Base contract (0x and 40 hex)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations declare readOnlyHint=true and openWorldHint=true, and the description adds genuinely new operational context: the tool is paid (partner key or x402), it refuses to output trading signals ('Risk and structure facts, never a trading signal'), and it discloses the special handling of regulated issuer assets (ISSUER CONTROLLED with named issuer rather than risk points). That is substantive disclosure beyond the annotation set.

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?

It is front-loaded with the purpose, which is good, but the first sentence is an overlong run-on with multiple stacked parentheticals ('a regulated issuer's asset, such as USDC or an xStock, is ISSUER CONTROLLED...') that hurts scannability. The final two short sentences (no trading signal, paid) are efficient and earn their place.

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

Completeness4/5

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

With no output schema and only two well-documented parameters, the description takes on the return-value burden itself and does so reasonably, describing the risk level, points, per-flag evidence, measured facts, and text summary. The payment requirement and the no-trading-signal boundary are covered, leaving little an agent needs that is missing.

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

Parameters3/5

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

Schema description coverage is 100% for both parameters, including the chain enum and the token address format, so the schema already carries the parameter burden. The description adds no parameter-level detail (formats, syntax, constraints), so the baseline of 3 applies.

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

Purpose4/5

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

The description names a specific verb+resource ('One token risk and structure analysis') and enumerates the outputs it produces (risk level, flags with evidence, measured facts, short text). It implicitly separates itself from monitor_token by emphasizing a single one-shot analysis, though it never names the sibling outright.

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

Usage Guidelines3/5

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

Usage is implied — analyze one token for risk/structure facts — and the access prerequisite is stated ('Paid: partner key or x402'). However, there is no explicit when-to-use guidance and no routing against monitor_token, resolve_ticker, or get_job, which are plausible alternatives for a related intent.

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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