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Glama

Supplier Due Diligence Report Agent

due_diligence_report

Generates comprehensive supplier due diligence reports using global enterprise data, benchmarking ownership, legal, and financial risk for compliance and procurement decisions.

Pricing: {"unit": "credits", "options": [{"chapter_name": "Company Registration Information", "per_run": 1518}, {"chapter_name": "Branch Offices", "per_run": 1650}, {"chapter_name": "Corporate Brand Initiatives", "per_run": 2079}, {"chapter_name": "Administrative Sanctions", "per_run": 1485}, {"chapter_name": "Software Copyright Details", "per_run": 1551}, {"chapter_name": "Outbound Investments", "per_run": 1650}, {"chapter_name": "Financing Activities", "per_run": 1452}, {"chapter_name": "Competitor Analysis", "per_run": 1485}, {"chapter_name": "Subsidiary Companies", "per_run": 1848}, {"chapter_name": "Trademark Portfolio", "per_run": 4059}, {"chapter_name": "Patent Holdings", "per_run": 12045}, {"chapter_name": "Website Registrations", "per_run": 1419}, {"chapter_name": "Court Judgments", "per_run": 1584}, {"chapter_name": "Shareholder Structure", "per_run": 1386}, {"chapter_name": "Senior Management Team", "per_run": 1452}, {"chapter_name": "Administrative Permits", "per_run": 1749}, {"chapter_name": "Court Hearing Notices", "per_run": 3696}, {"chapter_name": "Court Notices", "per_run": 3597}, {"chapter_name": "Equity Pledges", "per_run": 1419}, {"chapter_name": "Mobile Applications", "per_run": 1386}, {"chapter_name": "Copyrighted Works", "per_run": 1749}, {"chapter_name": "Equity Freezes", "per_run": 1419}, {"chapter_name": "Chattel Mortgages", "per_run": 1419}, {"chapter_name": "WeChat Official Accounts", "per_run": 1386}, {"chapter_name": "Tendering and Bidding Activities", "per_run": 2145}, {"chapter_name": "Qualification Certificates", "per_run": 2310}, {"chapter_name": "Engineering Irregularities", "per_run": 1419}, {"chapter_name": "Major Regulatory Violations", "per_run": 1452}, {"chapter_name": "Compensation and Benefits", "per_run": 1386}, {"chapter_name": "Enforcement Targets", "per_run": 1452}, {"chapter_name": "Supplier Network", "per_run": 1584}, {"chapter_name": "Credit Ratings", "per_run": 1419}, {"chapter_name": "Tax Offenses", "per_run": 1419}, {"chapter_name": "Regulatory Spot Checks", "per_run": 1485}, {"chapter_name": "Import-Export Credit Records", "per_run": 1386}, {"chapter_name": "Regulatory Actions", "per_run": 1617}, {"chapter_name": "Granted Government Subsidies", "per_run": 1551}, {"chapter_name": "Eligible Government Subsidies", "per_run": 1584}, {"chapter_name": "Consolidated Statements of Operations", "per_run": 1749}, {"chapter_name": "Income Statement", "per_run": 1947}, {"chapter_name": "Statement of Cash Flows", "per_run": 2442}, {"chapter_name": "Consolidated Balance Sheets", "per_run": 2145}, {"chapter_name": "ALL", "per_run": 26400}]}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pidYesInternal company ID for the target enterprise, obtained from the search_company_candidates MCP tool (e.g. a77828f060c866441f2403384b271e63 for Tesla, Inc.).
chapter_nameNoReport chapter to generate. Omit or use ALL for the full due diligence report.ALL

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

B3.3/5.0
Behavior3/5

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

The annotations provide only openWorldHint, so the description carries most of the burden. The description discloses that the tool generates reports and includes detailed pricing per chapter, which is useful operational context. It does not mention authentication, rate limits, run duration, or any side effects beyond report generation, but 'generates' suggests a read-only analytical operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The opening sentence is concise and front-loaded, but the description is dominated by a massive 43-item pricing JSON that largely duplicates the chapter_name enum in the schema. The pricing detail adds some value, but the repetition and bloat make the description much larger than necessary for an agent to understand and invoke the tool.

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?

With only two parameters and an output schema present, the description does not need to explain return values. It gives a clear overview and a complete list of chapters via pricing, but it lacks guidance on choosing chapters based on cost/relevance, and it does not explain the relationship to prerequisite tools beyond the schema's pid example. Overall, it is minimally viable but leaves operational gaps.

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 coverage is 100%, so the baseline is 3. The description adds meaningful value by providing per-chapter credit costs in the pricing block, which helps an agent decide between 'ALL' and specific chapter_name values. It also indirectly reinforces that chapter_name corresponds to report sections; the schema already covers pid and the enum/default for chapter_name.

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 uses a specific verb ('Generates comprehensive supplier due diligence reports') and clearly defines the resource and purpose: benchmarking ownership, legal, and financial risk for compliance and procurement. It does not explicitly differentiate from sibling tools like corporate_exception_report or supply_chain_risk_prediction, but the 'supplier due diligence' scope is reasonably distinct.

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 phrase 'for compliance and procurement decisions' gives some context for when the tool is useful, and the pricing options imply selecting specific report chapters. However, there is no explicit guidance about when to use this tool instead of the listed sibling tools, nor any exclusions or prerequisites beyond the schema's mention of pid.

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

B3.1/5.0
Disambiguation3/5

Most tools are clearly distinct (e.g., tariff_calc vs. tariff_classification, search_* vs. sg_*). However, corporate_exception_report and due_diligence_report both produce company reports with overlapping chapter lists and vague descriptions, creating potential confusion for an agent selecting the appropriate report.

Naming Consistency2/5

Naming conventions are mixed: search_company_candidates and search_region_candidates follow verb_noun, but others use noun phrases (tariff_calc, due_diligence_report) and some use an 'sg_' prefix (sg_chokepoint, sg_visualization). This lack of a consistent pattern reduces predictability.

Tool Count5/5

With 9 tools, the count is well within the ideal 3-15 range and matches the platform's scope—company search, due diligence, supply chain analysis, and tariff handling. Each tool serves a clear purpose without unnecessary bloat.

Completeness4/5

The surface covers core workflows: company identification (search), deep reporting (due diligence, exception report), supply chain analysis (chokepoint, visualization, risk prediction), and tariff handling (classification, calculation). Minor gaps exist, such as a dedicated tool for fetching a specific company profile, but due_diligence_report largely fills that need.

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