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Fuci

Bonding Watcher

argus_bonding
Read-onlyIdempotent

Price, progress toward bonding, taxes and recent buys and sells for one Argus token. Price: $0.002 USDC (x402).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tokenNoToken address (0x…) of an Argus launch (default: $FUCI)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL to call; it answers 402 with the price, then the data once paid
bodyNoJSON body for POST tools
methodYesHTTP method to call with an x402 client

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / token / description
      Previous value: -"Token address (0x…) of an Argus launch"New value: +"Token address (0x…) of an Argus launch (default: $FUCI)"
  2. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds which data categories are surfaced but no additional behavioral context such as auth needs, rate limits, or output variability. The concrete price figure is an odd inclusion and may mislead rather than clarify behavior.

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

Conciseness2/5

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

The core purpose is conveyed in a single compact sentence, but the second sentence 'Price: $0.002 USDC (x402)' is unnecessary and likely volatile data that does not belong in a static tool description. This undercuts the conciseness and adds noise.

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?

For a read-only single-token lookup with one optional parameter, an output schema, and strong annotations, the description is mostly complete. It names the key data categories returned. The main blemish is the hard-coded price example, but that does not create a critical gap in the agent's ability to call the tool correctly.

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?

The schema description covers 100% of the single 'token' parameter, including address format and default ($FUCI). The description does not add further parameter semantics beyond mentioning 'one Argus token', so it does not exceed the schema baseline.

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 clearly states the tool's purpose: it reports price, bonding progress, taxes, and recent buys/sells for a single Argus token. It identifies a specific resource and scope ('one Argus token'), though it does not explicitly distinguish itself from siblings like argus_launches. The stray 'Price: $0.002 USDC (x402)' looks like sample data and slightly muddies the purpose.

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?

The phrase 'for one Argus token' implies this is a single-token lookup rather than a list tool, giving some contextual usage signal. However, it does not explicitly state when to use this tool over sibling tools such as argus_launches or market_search, nor does it mention any exclusions or prerequisites.

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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