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bond_covenant_monitor

Read-onlyIdempotent

As a CFO, monitor bond covenant compliance by analyzing leverage ratios (debt-to-equity, debt-to-EBITDA) and interest coverage ratios using real-time financial data. Input a company's ticker symbol and optional covenant thresholds to receive compliance status, key financial metrics, and SEC filing references. Ideal for proactive debt management and regulatory compliance tracking. Keywords: bond covenants, leverage ratio, interest coverage, debt compliance, SEC filings, financial health.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asyncNoIf true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts.
tickerYesCompany ticker symbol (e.g., 'AAPL')
covenantThresholdsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYes
sourcesYes
warningsYes
debtToEquityNo
leverageRatioNo
lastFilingDateNo
complianceStatusYes
interestCoverageNo
nextFilingDeadlineNo

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, and idempotentHint, establishing the safety profile. The description adds valuable context about real-time data usage and output (compliance status, key metrics, SEC filing references) that goes beyond the annotations, without contradicting them.

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?

The description is three sentences plus keywords, front-loading the primary purpose in the first sentence. It is efficient and each sentence earns its place, though the 'As a CFO' persona is slightly unnecessary and the keyword list, while helpful for search, could be considered redundant.

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?

Given the existence of an output schema and annotations, the description sufficiently covers inputs, outputs, and use cases. It explains the input (ticker, optional thresholds), the output (compliance status, metrics, references), and the context (debt management, regulatory compliance), making it complete enough for a tool with moderate complexity.

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

Parameters4/5

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

Schema has 67% coverage (async and ticker have descriptions, covenantThresholds object lacks a top-level description). The description compensates by explaining the input: 'Input a company's ticker symbol and optional covenant thresholds', and clarifies the purpose of thresholds in assessing compliance. It adds meaning beyond the raw schema for the main functional parameters.

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 function: monitor bond covenant compliance by analyzing leverage and interest coverage ratios with real-time data. It specifies the resource (bond covenants) and the action (monitor/analyze), which distinguishes it from generic financial analysis tools, though it doesn't explicitly name sibling tools like bond_covenant_esg_compliance_checker.

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

Usage Guidelines4/5

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

Provides clear usage context: 'As a CFO', 'Ideal for proactive debt management and regulatory compliance tracking'. This indicates when to use it (covenant monitoring for financial oversight) but does not explicitly mention alternatives or exclusions, which would raise it to a 5.

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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TDQS

C2.4/5.0
Disambiguation1/5

Over 50 tools share the identical template 'Gapup agent-payable C-suite expertise' with similar French descriptions and reference cases, making their boundaries indistinguishable. Clusters like competitor_intel, competitive_deep_dive, competitor_moves, competitor_profiles, competitor_pricing_radar, competitor_pricing_scrape, and competitor_recommendations heavily overlap in purpose.

Naming Consistency1/5

Names are chaotic: mix of French and English, snake_case and camelCase, verb_noun, noun, and adjective forms with no uniform pattern. Examples like 'bp_narratif', 'content_enrichment', 'ai_governance_full_report_async', and 'job_result' show no coherent naming convention.

Tool Count1/5

271 tools is far beyond any reasonable MCP server scope, creating an overwhelming selection burden for agents. This count vastly exceeds the 25+ threshold for 'too many' and makes navigation impractical.

Completeness2/5

While the server covers many business domains, it lacks lifecycle operations (e.g., no update/delete tools for the deliverables it generates) and the input specifications are vague ('documented case fields' without documentation), creating functional dead ends. The sheer breadth does not compensate for these gaps.