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get_financial_deal_readiness

Read-only

Use when assessing financial health and deal-readiness for M&A, lending, or investment committee review. Fans in earnings quality, working capital, WACC, corporate debt, credit spread, and ESG benchmarks — degrading per-section on source_unavailable. Input sector (required); optional industry, credit_rating_tier, credit_spread_tier, esg_focus. $3.00 USDC per call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sectorYes
industryNo
esg_focusNo
credit_rating_tierNo
credit_spread_tierNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already establish readOnlyHint=true and destructiveHint=falsetonne. The description adds valuable behavioral context: it discloses that the tool 'degrades per-section on source_unavailable,' meaning each benchmark section may be degraded if its source is unavailabletree-json. It also discloses the cost ($3.00 USDC per call). This goes beyond the annotations and helps the agent anticipate partial results and cost implications.

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 concise and front-loaded with the primary use case. Each sentence adds value: purpose, benchmark coverage with degradation note, parameter list, and pricing. It could be slightly cleaner (e.g., the typo 'Fans' instead of 'Blends' or 'Finds'), but overall it is well-structured and not padded.

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

Completeness3/5

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

For a tool with 5 parameters and no output schema, the description provides purpose, usage context, cost, and a degradation behavior. However, it omits crucial details about what the output looks like and does not explain the semantic role of the optional parameters. An agent can invoke it correctly in terms of required fields, but may not know how to choose appropriate parameter values or interpret the response. Some of this burden falls on the schema's enums, but the description falls short for a composite benchmark tool of this complexity.

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 must compensate by explaining parameter meanings. It lists which parameters are required and optional (sector, industry, credit_rating_tier, credit_spread_tier, esg_focus) but does not define what each parameter controls or how it influences the output. The phrase 'Fans in...benchmarks' hints that these parameters scope the benchmarks, but that is too vague for correct invocation. The agent is left guessing how 'credit_rating_tier' or 'esg_focus' alter the analysis.

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 clear purpose: assessing financial health and deal-readiness for M&A, lending, or investment committee review. It also enumerates the key benchmark areas covered (earnings quality, working capital, WACC, corporate debt, credit spread, ESG), which specifies the resource scope. However, it does not explicitly differentiate itself from sibling tools that cover individual benchmarks (e.g., get_earnings_quality_benchmark, get_esg_benchmark), so it earns a 4 rather than a 5.

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?

The description explicitly states when to use the tool: 'when assessing financial health and deal-readiness for M&A, lending, or investment committee review.' This provides clear context. It does not mention when not to use it or compare with alternatives, but the targeted use case is specific enough. The mention of required and optional parameters also gives usage direction.

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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