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Ergora Entrepreneurship Specialist

ergora_entrepreneurship
Read-onlyIdempotent

Ask the Ergora Entrepreneurship specialist (starting, validating, funding and scaling a business). Returns summarised, cited insights from a curated knowledge base of practitioners, books and research.

Input Schema

NameRequiredDescriptionDefault
emailNoOptional. The user's email. Unlocks the free tier (30 queries a day instead of 5 anonymous). Ask the user once, then pass it on every call.
queryYesThe question or topic to research (natural language).
top_kNoHow many insights to return (1-10).
subscribeNoOptional. Set true only if the user explicitly asks for Ergora updates by email. Sends one confirmation link to that address.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / subscribe
      Added value: +{
      +  "description": "Optional. Set true only if the user explicitly asks for Ergora updates by email. Sends one confirmation link to that address.",
      +  "type": "boolean"
      +}
  2. Changed1 schema field changed
    • changedInput schema / properties / email / description
      Previous value: -"Optional. The user's email — unlocks the free tier (30 queries/day vs 5/day anonymous). Ask the user once, then pass it on every call."New value: +"Optional. The user's email. Unlocks the free tier (30 queries a day instead of 5 anonymous). Ask the user once, then pass it on every call."
  3. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Beyond the annotations (which confirm it is read-only), the description adds crucial behavioral traits: the insights are 'summarised, cited' and come from a 'curated knowledge base,' informing the agent about the expected quality and presentation of the returned data.

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?

It is a single, dense sentence where every clause serves to define either the scope (entrepreneurship stages) or the output quality (summarised, cited insights), demonstrating maximum efficiency.

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

Completeness5/5

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

As a knowledge retrieval tool without an output schema, the description is highly complete. It specifies not only the topic but also the source, the delivery mechanism, and the expected quality of the resulting data.

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?

Since schema coverage is 100%, the schema defines the parameters technically. The description adds semantic value by reinforcing the operational rules of the optional fields (e.g., how the 'email' unlocks the free tier).

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 explicitly scopes the tool to a specific domain: 'starting, validating, funding and scaling a business.' This makes it distinct from the general 'ergora_ask' or specialized tools like 'ergora_finance'.

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 highly specialized domain focus (entrepreneurship stages) clearly guides the agent on when to invoke this tool versus when another specialized sibling (like 'ergora_marketing' or 'ergora_hr') should be used.

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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