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SupplyGraph.AI

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

Schema Changelog

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

  1. Changed2 schema fields changed
    • addedOutput schema / definitions
      Added value: +{
      +  "sub_section": {
      +    "properties": {
      +      "section_texts": {
      +        "description": "Array of sub-section text paragraphs, formatted in Markdown for detailed and structured content including headings, bullet points, tables, and hyperlinks to ensure professional and informative due diligence subsections.",
      +        "items": {
      +          "type": "string"
      +        },
      +        "type": "array"
      +      },
      +      "section_title": {
      +        "description": "Sub-section title.",
      +        "type": "string"
      +      },
      +      "sub_sections": {
      +        "description": "Nested array of sub-sections.",
      +        "items": {
      +          "$ref": "#/definitions/sub_section"
      +        },
      +        "type": "array"
      +      }
      +    },
      +    "required": [
      +      "section_title",
      +      "sub_sections",
      +      "section_texts"
      +    ],
      +    "type": "object"
      +  }
      +}
    • changedOutput schema / oneOf
      Previous value: -[
      -  {
      -    "description": "Text or Markdown response generated by the agent. Returned when the task is not yet completed, failed, cancelled, or requires user input (e.g. validation prompts, error messages, or clarification requests).",
      -    "properties": {
      -      "text": {
      -        "description": "Text or Markdown response generated by the agent. Returned when the task is not yet completed, failed, cancelled, or requires user input (e.g. validation prompts, error messages, or clarification requests).",
      -        "type": "string"
      -      }
      -    },
      -    "required": [
      -      "text"
      -    ],
      -    "type": "object"
      -  },
      -  {
      -    "definitions": {
      -      "sub_section": {
      -        "properties": {
      -          "section_texts": {
      -            "description": "Array of sub-section text paragraphs, formatted in Markdown for detailed and structured content including headings, bullet points, tables, and hyperlinks to ensure professional and informative due diligence subsections.",
      -            "items": {
      -              "type": "string"
      -            },
      -            "type": "array"
      -          },
      -          "section_title": {
      -            "description": "Sub-section title.",
      -            "type": "string"
      -          },
      -          "sub_sections": {
      -            "description": "Nested array of sub-sections.",
      -            "items": {
      -              "$ref": "#/definitions/sub_section"
      -            },
      -            "type": "array"
      -          }
      -        },
      -        "required": [
      -          "section_title",
      -          "sub_sections",
      -          "section_texts"
      -        ],
      -        "type": "object"
      -      }
      -    },
      -    "description": "Structured due diligence report output for enterprise analysis.",
      -    "properties": {
      -      "data": {
      -        "properties": {
      -          "chapter_infos": {
      -            "description": "Array of chapter information in the due diligence report.",
      -            "items": {
      -              "properties": {
      -                "en": {
      -                  "properties": {
      -                    "chapter_name": {
      -                      "description": "Chapter name in English.",
      -                      "type": "string"
      -                    },
      -                    "chapter_texts": {
      -                      "description": "Array of chapter text paragraphs in English, formatted in Markdown for structured presentation including headings, lists, tables, and links to provide comprehensive and professional due diligence content.",
      -                      "items": {
      -                        "type": "string"
      -                      },
      -                      "type": "array"
      -                    },
      -                    "sub_sections": {
      -                      "description": "Array of sub-sections in English.",
      -                      "items": {
      -                        "$ref": "#/definitions/sub_section"
      -                      },
      -                      "type": "array"
      -                    }
      -                  },
      -                  "required": [
      -                    "chapter_name",
      -                    "sub_sections",
      -                    "chapter_texts"
      -                  ],
      -                  "type": "object"
      -                },
      -                "zh": {
      -                  "properties": {
      -                    "chapter_name": {
      -                      "description": "Chapter name in Chinese.",
      -                      "type": "string"
      -                    },
      -                    "chapter_texts": {
      -                      "description": "Array of chapter text paragraphs in Chinese, formatted in Markdown for structured presentation including headings, lists, tables, and links to provide comprehensive and professional due diligence content.",
      -                      "items": {
      -                        "type": "string"
      -                      },
      -                      "type": "array"
      -                    },
      -                    "sub_sections": {
      -                      "description": "Array of sub-sections in Chinese.",
      -                      "items": {
      -                        "$ref": "#/definitions/sub_section"
      -                      },
      -                      "type": "array"
      -                    }
      -                  },
      -                  "required": [
      -                    "chapter_name",
      -                    "sub_sections",
      -                    "chapter_texts"
      -                  ],
      -                  "type": "object"
      -                }
      -              },
      -              "required": [
      -                "en"
      -              ],
      -              "type": "object"
      -            },
      -            "type": "array"
      -          },
      -          "languages": {
      -            "description": "Array of language codes indicating the languages included in the response, where 'zk' represents Chinese and 'en' represents English.",
      -            "items": {
      -              "type": "string"
      -            },
      -            "type": "array"
      -          },
      -          "report_infos": {
      -            "description": "Dictionary containing report metadata in English and Chinese.",
      -            "properties": {
      -              "en": {
      -                "properties": {
      -                  "report_date": {
      -                    "description": "Report generation date in English.",
      -                    "type": "string"
      -                  },
      -                  "report_name": {
      -                    "description": "Full report name in English.",
      -                    "type": "string"
      -                  },
      -                  "report_type": {
      -                    "description": "Type of the report in English.",
      -                    "type": "string"
      -                  }
      -                },
      -                "required": [
      -                  "report_date",
      -                  "report_name",
      -                  "report_type"
      -                ],
      -                "type": "object"
      -              },
      -              "zh": {
      -                "properties": {
      -                  "report_date": {
      -                    "description": "Report generation date in Chinese.",
      -                    "type": "string"
      -                  },
      -                  "report_name": {
      -                    "description": "Full report name in Chinese.",
      -                    "type": "string"
      -                  },
      -                  "report_type": {
      -                    "description": "Type of the report in Chinese.",
      -                    "type": "string"
      -                  }
      -                },
      -                "required": [
      -                  "report_date",
      -                  "report_name",
      -                  "report_type"
      -                ],
      -                "type": "object"
      -              }
      -            },
      -            "required": [
      -              "en"
      -            ],
      -            "type": "object"
      -          }
      -        },
      -        "required": [
      -          "languages",
      -          "report_infos",
      -          "chapter_infos"
      -        ],
      -        "type": "object"
      -      },
      -      "type": {
      -        "description": "Indicates structured due diligence report output.",
      -        "enum": [
      -          "results"
      -        ]
      -      }
      -    },
      -    "required": [
      -      "type",
      -      "data"
      -    ],
      -    "type": "object"
      -  }
      -]New value: +[
      +  {
      +    "description": "Text or Markdown response generated by the agent. Returned when the task is not yet completed, failed, cancelled, or requires user input (e.g. validation prompts, error messages, or clarification requests).",
      +    "properties": {
      +      "text": {
      +        "description": "Text or Markdown response generated by the agent. Returned when the task is not yet completed, failed, cancelled, or requires user input (e.g. validation prompts, error messages, or clarification requests).",
      +        "type": "string"
      +      }
      +    },
      +    "required": [
      +      "text"
      +    ],
      +    "type": "object"
      +  },
      +  {
      +    "description": "Structured due diligence report output for enterprise analysis.",
      +    "properties": {
      +      "data": {
      +        "properties": {
      +          "chapter_infos": {
      +            "description": "Array of chapter information in the due diligence report.",
      +            "items": {
      +              "properties": {
      +                "en": {
      +                  "properties": {
      +                    "chapter_name": {
      +                      "description": "Chapter name in English.",
      +                      "type": "string"
      +                    },
      +                    "chapter_texts": {
      +                      "description": "Array of chapter text paragraphs in English, formatted in Markdown for structured presentation including headings, lists, tables, and links to provide comprehensive and professional due diligence content.",
      +                      "items": {
      +                        "type": "string"
      +                      },
      +                      "type": "array"
      +                    },
      +                    "sub_sections": {
      +                      "description": "Array of sub-sections in English.",
      +                      "items": {
      +                        "$ref": "#/definitions/sub_section"
      +                      },
      +                      "type": "array"
      +                    }
      +                  },
      +                  "required": [
      +                    "chapter_name",
      +                    "sub_sections",
      +                    "chapter_texts"
      +                  ],
      +                  "type": "object"
      +                },
      +                "zh": {
      +                  "properties": {
      +                    "chapter_name": {
      +                      "description": "Chapter name in Chinese.",
      +                      "type": "string"
      +                    },
      +                    "chapter_texts": {
      +                      "description": "Array of chapter text paragraphs in Chinese, formatted in Markdown for structured presentation including headings, lists, tables, and links to provide comprehensive and professional due diligence content.",
      +                      "items": {
      +                        "type": "string"
      +                      },
      +                      "type": "array"
      +                    },
      +                    "sub_sections": {
      +                      "description": "Array of sub-sections in Chinese.",
      +                      "items": {
      +                        "$ref": "#/definitions/sub_section"
      +                      },
      +                      "type": "array"
      +                    }
      +                  },
      +                  "required": [
      +                    "chapter_name",
      +                    "sub_sections",
      +                    "chapter_texts"
      +                  ],
      +                  "type": "object"
      +                }
      +              },
      +              "required": [
      +                "en"
      +              ],
      +              "type": "object"
      +            },
      +            "type": "array"
      +          },
      +          "languages": {
      +            "description": "Array of language codes indicating the languages included in the response, where 'zk' represents Chinese and 'en' represents English.",
      +            "items": {
      +              "type": "string"
      +            },
      +            "type": "array"
      +          },
      +          "report_infos": {
      +            "description": "Dictionary containing report metadata in English and Chinese.",
      +            "properties": {
      +              "en": {
      +                "properties": {
      +                  "report_date": {
      +                    "description": "Report generation date in English.",
      +                    "type": "string"
      +                  },
      +                  "report_name": {
      +                    "description": "Full report name in English.",
      +                    "type": "string"
      +                  },
      +                  "report_type": {
      +                    "description": "Type of the report in English.",
      +                    "type": "string"
      +                  }
      +                },
      +                "required": [
      +                  "report_date",
      +                  "report_name",
      +                  "report_type"
      +                ],
      +                "type": "object"
      +              },
      +              "zh": {
      +                "properties": {
      +                  "report_date": {
      +                    "description": "Report generation date in Chinese.",
      +                    "type": "string"
      +                  },
      +                  "report_name": {
      +                    "description": "Full report name in Chinese.",
      +                    "type": "string"
      +                  },
      +                  "report_type": {
      +                    "description": "Type of the report in Chinese.",
      +                    "type": "string"
      +                  }
      +                },
      +                "required": [
      +                  "report_date",
      +                  "report_name",
      +                  "report_type"
      +                ],
      +                "type": "object"
      +              }
      +            },
      +            "required": [
      +              "en"
      +            ],
      +            "type": "object"
      +          }
      +        },
      +        "required": [
      +          "languages",
      +          "report_infos",
      +          "chapter_infos"
      +        ],
      +        "type": "object"
      +      },
      +      "type": {
      +        "description": "Indicates structured due diligence report output.",
      +        "enum": [
      +          "results"
      +        ]
      +      }
      +    },
      +    "required": [
      +      "type",
      +      "data"
      +    ],
      +    "type": "object"
      +  }
      +]
  2. First observed

TDQS

A3.6/5.0
Behavior3/5

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

With annotations limited to openWorldHint: true, the description adds a detailed pricing block showing per-chapter credit costs, which is useful behavioral context. However, it does not explicitly describe side effects, report generation behavior, or any prerequisites beyond the schema.

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 first sentence is concise and front-loaded, but the rest is a massive pricing JSON blob that duplicates the chapter_name enum and adds significant bloat. The description is far larger than necessary for the operational information it conveys.

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 an output schema and full parameter descriptions, the definition is mostly complete for invocation. However, it lacks explicit usage guidance, doesn't clarify the openWorldHint annotation, and the pricing dump is noisy. Overall adequate but with clear 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% with clear descriptions for both pid and chapter_name. The description's pricing block adds cost-per-chapter information not in the schema, helping agents make cost-aware parameter choices, and the schema pid description already explains where to obtain the ID.

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 'Generates comprehensive supplier due diligence reports' with a specific verb and resource, and details what it benchmarks (ownership, legal, financial risk). This distinguishes it from sibling tools like search_company_candidates (search) and corporate_exception_report.

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 provides context ('for compliance and procurement decisions') and the schema references search_company_candidates for pid, but there is no explicit 'use when' statement or comparison to alternative tools. The guidance is implied rather than stated.

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

B3/5.0
Disambiguation3/5

Tools are generally distinct in purpose (search, due diligence, tariff, supply chain), but the two 'search_company_candidates' and 'search_region_candidates' are similar in name and both serve lookup functions, and multiple tools like 'corporate_exception_report' and 'due_diligence_report' overlap in producing comprehensive company reports. The separation is clear enough for an agent but could cause confusion between similar-sounding search tools.

Naming Consistency3/5

Names mix styles: descriptive multi-word names (due_diligence_report, supply_chain_risk_prediction) and abbreviated names (sg_chokepoint, sg_visualization). There is no consistent verb_noun pattern, and the 'sg_' prefix is inconsistently applied. However, most names are readable and roughly follow a noun-based pattern.

Tool Count5/5

With 9 tools, the server covers a broad but coherent domain: search/identity, due diligence, supply chain analysis, and tariff compliance. Each tool addresses a distinct high-level capability, and the count feels appropriate for the scope—not too thin or overly heavy.

Completeness4/5

The tool surface covers major workflows: company identification, due diligence reporting, supply chain risk/chokepoint analysis, tariff classification and calculation. Minor gaps exist (e.g., no explicit update/delete on data since it's a read-only data provider), but for its purpose as an analysis API, it is reasonably complete.

Resources