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Validate financials

validate_financials
Read-only

Institutional validation pass over company financials: tax-rate sanity, EBITDA/EBIT bridge, growth continuity vs historical CAGR, capex ratio, working-capital stability. Returns integrity score + severity-ranked flags. $0.50/call after free trial.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
financialsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior4/5

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

Annotations declare readOnlyHint=true and openWorldHint=false, so the safety profile is already covered; the description adds genuinely new behavioral context: it returns an integrity score plus severity-ranked flags (important since there is no output schema), and it discloses a $0.50/call cost after a free trial — a material fact an agent should surface before invoking.

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?

Dense and front-loaded: the validation scope leads, the return value follows, and the pricing caveat closes. Nothing is padded, though the pricing sentence sits awkwardly after the technical content rather than with the usage framing.

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?

Because there is no output schema, the description correctly carries the return contract (integrity score + severity-ranked flags), which is a plus. However, for a tool wrapping a nested, schema-free 'financials' object, it says nothing about required inputs or coverage limits, so the agent lacks what it needs to construct a valid call.

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% and the single parameter 'financials' is a free-form object with additionalProperties=true, so neither the schema nor the description says what fields or periods are required for the checks to run. The description lists what gets validated but never maps that to the expected input shape, leaving the agent to guess the payload structure.

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?

States a specific verb+resource ('Institutional validation pass over company financials') and enumerates the actual checks performed (tax-rate sanity, EBITDA/EBIT bridge, CAGR growth continuity, capex ratio, working-capital stability). This is far more specific than the title, and it is distinguishable from siblings like company_report or sec_extract, though no sibling is named explicitly.

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 guidance on when to run this validation versus fetching a report (company_report) or extracting statements (sec_extract), nor any stated prerequisites about what the input must contain. The only contextual note is pricing, which is cost information rather than 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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