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barnsbytarquin

TokenEnrich MCP Server

detect_technology

Check if a company domain uses a specified technology, validating tech-stack presence for firmographic enrichment.

Instructions

Checks whether a specific target technology (e.g. 'stripe', 'ashby', 'posthog', 'nextjs', 'supabase', 'google-workspace', 'soc2') is used by a company domain.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainYesThe company apex domain, e.g., 'linear.app'.
technologyYesThe technology name or signature to check, e.g. 'stripe', 'ashby', 'posthog', 'nextjs', 'supabase'.
Behavior2/5

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

No annotations are provided, so the description carries the full burden of disclosing behavior. The description states it 'checks' but does not reveal what the tool returns (e.g., a boolean, evidence, or details), whether it performs any side effects, or if it has network/rate limits. It also does not explicitly state that it is a read-only operation. For a tool that likely performs a network lookup, this lack of behavioral context leaves the agent uncertain about 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 a single, well-structured sentence that front-loads the action and provides a clear list of example technologies. There is no filler or redundant information. It is appropriately concise for a simple tool.

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's simplicity, the description covers the basic purpose, but it omits critical details: there is no output schema, so the return format is unspecified, and the description does not mention how results are presented (e.g., boolean, confidence score, or details). Additionally, there is no mention of potential failure modes (e.g., unknown domain or technology) or whether the tool requires authentication. The lack of usage guidance for sibling distinction also reduces completeness.

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?

The input schema already describes both parameters with examples and the description only reiterates those examples (e.g., 'stripe', 'ashby') without adding new meaning. The schema coverage is 100%, so the baseline is 3. The description does not clarify any parameter-specific constraints beyond what the schema states, such as how the technology signature is matched or any format requirements.

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 uses a specific verb ('Checks') and clearly identifies the resource ('a specific target technology') and scope ('used by a company domain'). Examples of technologies are given, and the tool is distinct from the sibling enrichment tools, which focus on adding data about companies rather than detecting specific technology usage. No ambiguity.

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 does not provide any guidance on when to use this tool versus siblings like batch_enrich_companies or enrich_company. It does not mention scenarios where this tool is preferred, nor does it state exclusions or alternatives. While the purpose is clear, the agent is left to infer when this tool should be chosen over enrichment tools, which serve a different function but are grouped as siblings.

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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