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falcon.sol comps

get_credit

falcon.sol: Lev-fin credit comps (leverage, coverage, FCF/debt, debt capacity, rated structures, memo) for up to 12 tickers. Costs $0.24 USDC (x402).

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "tickers": "<tickers>"
    },
    "name": "get_credit"
  }
}

Input Schema

NameRequiredDescriptionDefault
pricesNo
tickersYes
assumptionsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.1/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It usefully discloses the $0.24 USDC cost and the x402 payment mechanism, which is important operational context, but it does not explain return structure, latency, rate limits, or what happens with invalid tickers or missing prices/assumptions.

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 sentences, front-loaded with the resource and scope. The cost note is compact. The 'falcon.sol:' prefix is somewhat cryptic but does not waste much space.

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?

This is a paid, nested-object tool with no output schema, no annotations, and 0% parameter description coverage. The description lists output metrics and cost but leaves too much unexplained: what prices and assumptions do, what the response looks like, and how payment/auth behaves beyond the price.

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 description coverage is 0%, so the description needs to compensate, but it only partially covers the tickers parameter (up to 12) and says nothing about the prices or assumptions objects. The ticker cap is already in the schema via maxItems, and the nested object semantics remain undocumented.

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 states a specific resource and scope: leverage-finance credit comps (leverage, coverage, FCF/debt, debt capacity, rated structures, memo) for up to 12 tickers. It distinguishes the output content from sibling tools like get_financials or get_lbo implicitly, but never explicitly positions itself against get_comps or the other siblings.

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 by the 'credit comps' framing and the 12-ticker limit, so an agent can infer it is for credit analysis across a basket of tickers. However, there is no explicit when-to-use guidance, no exclusions, and no mention of when to choose get_comps or get_financials instead.

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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