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GründerX Founder Events, Deadlines & Startup Credits (Germany)

Startup-Guthaben finden

search_startup_credits
Read-onlyIdempotent

Startup-Programme mit Gratis-Guthaben und Rabatten (Cloud, KI-Modelle, Hosting, Software, Marketing, Finanzen, E-Commerce) samt Leistungen und Voraussetzungen, Angaben von den offiziellen Anbieterseiten. Optional nur Programme, für die man nach Gründungsalter und Finanzierung infrage kommt. Finds startup credit programs.

Input Schema

NameRequiredDescriptionDefault
queryNoStichwort, z. B. 'AWS' oder 'Datenbank'
categoryNoKategorie
has_investorNoGibt es einen Investor/VC? false blendet Programme aus, die einen voraussetzen
company_age_yearsNoWie viele Jahre ist die Gründung her?

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint and non-open-world, so the safety profile is covered. The description adds useful context that results include eligibility prerequisites and come from official provider pages, but says nothing about result scope, ordering, or freshness.

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

Conciseness3/5

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

The resource is front-loaded, but the single sentence is a dense run-on list, and the trailing English fragment 'Finds startup credit programs.' is a redundant partial translation of the title that adds no information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema needed and all parameters documented in the schema, the description covers the tool's scope, data source, and optional eligibility filtering adequately. Only minor gaps remain around return behavior and result ordering.

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 coverage is 100%, so all four parameters are already documented with descriptions and an enum. The description restates the eligibility filters (founding age, financing) that map to company_age_years and has_investor but adds no further syntax or semantics.

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 states a specific verb (find/search) and resource (startup credit programs covering cloud, AI, hosting, software, etc.) with the added scope of benefits and eligibility requirements sourced from official provider pages. It is clear but does not explicitly contrast itself with siblings like search_founder_events or read_founder_guide.

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?

It implies when the tool is useful (finding credit/discount programs) and notes that eligibility filtering by founding age and financing is optional. However, it never states when NOT to use it or which sibling to prefer for related founder needs like deadlines or events.

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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