Skip to main content
Glama

jp_dependent_threshold

Income-wall analysis: tax, social insurance (1.06M/1.30M), spousal and student-dependent walls. $0.02/call. Deterministic, cites primary sources; errors and unverified rules are never billed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearNo
as_ofNo
x_paymentNoOptional: base64 X-PAYMENT header value (x402 exact scheme, USDC on Base mainnet). Omit it to receive the payment requirements (accepts[] + docs) for this call without being charged.
annual_income_yenYes

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the full transparency burden. It discloses that the tool is deterministic, cites primary sources, never bills for errors/unverified rules, and has a per-call cost of $0.02. This gives agents crucial behavioral context about reliability and pricing. It does not cover rate limits or authentication, but for a paid deterministic analysis tool, the disclosed traits are valuable and exceed baseline expectations.

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?

The description is three short sentences, front-loaded with the core purpose, then pricing, then behavioral guarantees. Every sentence earns its place with no fluff. The structure is clear and scannable, making it easy for an agent to quickly grasp the tool's value proposition.

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?

Given the tool has 4 parameters, no output schema, and no annotations, the description should provide more context about expected outputs and parameter semantics. It mentions thresholds but not what results are returned (e.g., threshold values, comparison, advice). Parameter usage is not explained. The description is too sparse for a tool with such low schema coverage, leaving significant gaps for an agent to guess.

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 coverage is only 25% (only x_payment has a description). The tool description does not explain parameters like 'year' or 'as_of', which are likely dates. Annual_income_yen is self-explanatory from the name, but the others are ambiguous. Since the schema leaves most parameters undocumented and the description does not compensate, agents will struggle to correctly set inputs.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it performs 'income-wall analysis' with specific domains (tax, social insurance, spousal and student-dependent walls). It names the exact thresholds (1.06M/1.30M), distinguishing it from other JP financial tools like jp_social_insurance or jp_tax_calculators. The verb 'analysis' together with the resource (income walls) makes the purpose crisp and unambiguous.

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?

The description implies when to use this tool (for Japanese income threshold analysis) but does not explicitly state when not to use it or mention alternatives. Sibling tools like jp_social_insurance cover related topics, but no comparison or exclusion is provided. The usage is understandable from context but lacks explicit guidance on selection among similar tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

B3.2/5.0
Disambiguation2/5

Multiple tools have unclear boundaries: document_pipeline and parse_document both parse PDFs, portrait_analysis and style_profile both perform color analysis, enrich_company and jp_company_profile both resolve company profiles, and jp_payroll_suite bundles capabilities that already exist as separate tools. Descriptions are detailed, but an agent must carefully compare several near-synonyms before selecting.

Naming Consistency3/5

All names are snake_case, but the conventions are mixed: get_* for metadata, jp_* for Japan-specific calculations, pdf_* for PDF operations, plus standalone nouns like meal_vision and style_profile. The prefixes help readability, but there is no uniform verb_noun pattern and ordering is inconsistent (quote_parse vs parse_document).

Tool Count2/5

35 tools is far above the well-scoped 3-15 range and indicates an aggregator/marketplace rather than a focused server. Even with clear individual descriptions, the sheer breadth across OCR, PDF, Japan tax, style, and marketplace functions makes the tool set feel heavy and harder to navigate.

Completeness4/5

Within its broad marketplace scope, the server is fairly complete: paid products have free samples (get_sample), quotes (quote_parse), receipt retrieval (get_receipt), and discovery via get_catalog and search_x402_services. PDF and Japan tax coverage are extensive, though the wide domain spread means no single area feels fully exhaustive.

Resources