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mcp-osint

osint_search

Search 14 open-source intelligence data sources with natural language queries. Automatically routes to the best source or specify government, research, corporate, or news APIs.

Instructions

Search across 14 OSINT data sources. Returns results with available resources.

Auto-routes to the best source, or use source to query a specific connector.

Sources: data_gov, legiscan, courtlistener, census, openalex, semantic_scholar, pubmed, core, sec_edgar, fred, opensanctions, gdelt, wikidata, crt_sh

Examples:

  • "EPA air quality data California" → Data.gov

  • "Michigan renewable energy bill 2024" → LegiScan

  • "Brown v. Board of Education" → CourtListener

  • "population by county Texas" → Census

  • "machine learning medical diagnosis" → OpenAlex/PubMed

  • "Apple 10-K filing 2024" → SEC EDGAR

  • "GDP quarterly growth rate" → FRED

  • "Russian sanctions oligarchs" → OpenSanctions

  • "Ukraine conflict news" → GDELT

  • "microsoft.com subdomains" → crt.sh

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearNoFilter to specific year
limitNoMaximum results (default: 10)
queryYesNatural language search query
sourceNoSearch a specific connector (bypasses auto-routing)
jurisdictionNoState code (e.g., 'CA', 'TX') or 'US' for federal
Behavior3/5

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

No annotations are provided, so the description must convey all behavioral traits. It mentions auto-routing and returning 'results with available resources', but does not discuss rate limits, authentication, or any side effects. As a read-only search, this is minimally adequate but lacks depth.

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 well-structured and front-loaded: a succinct one-liner, followed by routing details, a list of sources, and practical examples. Every sentence serves a purpose, and the examples are particularly helpful without being excessive.

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 5 parameters and no output schema, the description covers the tool's purpose and source options adequately but leaves gaps: it does not specify return format for results, pagination behavior, or any prerequisites. For a search tool of this complexity, it is moderately complete but could be improved.

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 each parameter. The description adds significant value by providing concrete examples that illustrate how parameters like 'query' and 'source' interact, and maps natural language queries to appropriate sources, which aids the agent in parameter selection.

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 'Search across 14 OSINT data sources' with a specific verb and resource. The list of sources and examples strongly reinforce the tool's purpose, and it is easily distinguishable from siblings like osint_preview or osint_get.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains auto-routing and how to use the 'source' parameter for specific connectors, which provides clear usage context. However, it does not explicitly contrast with sibling tools (e.g., when to use osint_search vs osint_preview), so it loses some points for direct alternatives.

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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