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Conduit — Filings & Fundamentals

Get Debt Breakdown

get_debt_breakdown
Read-only

Debt components for the latest 10-K period: short-term borrowings, current debt, long-term debt.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickerYesStock ticker, e.g. AAPL

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds a genuinely useful behavioral constraint — the data is limited to the latest 10-K period, not quarterly — but says nothing about fallback behavior when a company has no debt or about return format.

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

Conciseness5/5

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

A single front-loaded sentence that leads with the resource and immediately scopes the period, with zero filler. Every element earns its 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?

For a one-parameter read-only tool with full annotation coverage and no output schema, the description is close to sufficient: it sets the period scope, which is the main ambiguity. A brief note on what happens when debt components are absent would complete it.

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% and the single ticker parameter is fully documented with an example (AAPL), so the schema carries the load. The description adds no parameter-level detail beyond what is already structured, making the baseline 3 appropriate.

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 resource (debt components) and enumerates the concrete line items returned (short-term borrowings, current debt, long-term debt), which separates it from generic siblings like get_financial_statement. It stops short of explicitly naming which sibling to use for other debt-related needs, so sibling differentiation is only implicit.

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 when-to-use statement, no exclusions, and no named alternative such as get_financial_statement or get_quarterly_trend. The only usage signal is the implicit 'latest 10-K period' scoping, which the agent must infer.

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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