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generate_area_report

Read-only

Generate comprehensive area report in Markdown/PDF with branding support. 10 prefectures. | エリアレポート生成。包括的な不動産分析をMarkdown/PDFで出力。ブランディング対応。全10都道府県。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
areaYes
formatNo出力フォーマット。pdf を指定すると pdfBase64 フィールドに Base64 エンコード済み PDF を返すmarkdown
purposeYes
agentNameNo担当者名(PDFヘッダーに表示)
disclaimerNo免責文言(PDF末尾に追加)
prefectureNo都道府県名(和名/英名/ISO 3166-2 コード対応)愛知県
companyNameNo会社名(PDFヘッダーに表示)
neighborhoodNo町丁目(例: '名駅南1丁目')。v2.4 では町丁目レベル実データに対応(対応都道府県のみ)
footerContactNo連絡先(PDF末尾フッター)
includeChartsNo
agentLogoBase64No会社ロゴ画像(Base64 Data URL)
includeLinearImpactNoリニア中央新幹線の影響試算を含めるか(愛知県のみ)
includeTransactionComparablesNo過去取引事例テーブルを含めるか

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context: it is limited to 10 prefectures and supports branding via parameters like companyName/agentName. However, it does not disclose return format details (e.g., that PDF returns a base64 field) beyond what the schema mentions, nor any other behavioral traits.

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—two short sentences in English and their Japanese translation. The core purpose is front-loaded. The bilingual duplication adds length but the content is minimal and not verbose; it sacrifices some compactness for clarity, which is acceptable.

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?

For a tool with 13 parameters and no output schema, the description is too sparse. It does not explain what 'comprehensive' includes, what the purpose options mean, or how this differs from similar report tools. The scope limitation to 10 prefectures is noted, but the description lacks the depth needed for an agent to decide when this tool is appropriate and what to expect beyond the schema.

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 77%, so the baseline is 3. The description adds a small amount of parameter context (branding support, 10 prefectures) but does not explain the required 'area' and 'purpose' parameters beyond what the schema provides. Since most parameters have inline descriptions, the description's contribution is marginal, keeping the score at the baseline.

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 states a clear verb and resource: 'Generate comprehensive area report in Markdown/PDF with branding support.' It immediately indicates the output formats and branding capability. The mention of '10 prefectures' scopes the resource, and while it doesn't name a sibling, the purpose is distinct enough from analysis tools like 'compare_prefectures' or 'quick_visual_summary' to be unambiguous.

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?

The description gives no guidance on when to use this tool versus alternatives. It does not mention any sibling tools, nor does it state prerequisites or conditions for selection. The reader is left to infer that this is the tool for generating reports, but no explicit usage context is provided.

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

B3.3/5.0
Disambiguation3/5

Many tools have overlapping purposes (e.g., analyze_renovation_yield vs recommend_renovation_targets, multiple scoring functions). While descriptions provide some differentiation, an agent could easily confuse tools like assess_property_risk, assess_family_friendly_score, and composite_value_score, all of which aggregate multiple axes into a single score.

Naming Consistency4/5

Most tools follow a verb_noun pattern (analyze_, assess_, get_, simulate_, etc.), but a few deviate with noun phrases (composite_value_score, portfolio_optimizer, scenario_what_if) or adjective-led names (quick_visual_summary). The pattern is largely consistent with minor exceptions, making it predictable overall.

Tool Count2/5

With 33 tools, the surface is quite heavy and exceeds the 25-tool threshold. While the server covers a broad domain (real estate analysis, simulation, contract review, reporting), many tools could be consolidated (e.g., multiple scoring functions). The count feels overwhelming for an agent to manage efficiently, though the scope is comprehensive.

Completeness4/5

The tool set covers the primary workflows of real estate intel: search/discovery, data retrieval, scoring, simulation, reporting, and contract support. Minor gaps exist (e.g., no direct property transaction listing lookup or lease-specific analysis), but these are not core to the server's stated purpose. The lifecycle of analysis is well-supported.