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Ergora Specialists

by io.github.ergoracloud
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Ergora Creator Economy Specialist

ergora_creator
Read-onlyIdempotent

Ask the Ergora Creator Economy specialist (audience growth, monetisation, personal brand). 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

A3.6/5.0
Behavior3/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, openWorld). The description adds useful behavioural context about the source of answers ('curated knowledge base of practitioners, books and research') and their form (summarised and cited), but it omits rate-limit and tier behaviour, both of which appear only in the schema. Modest value beyond structured fields.

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?

Two tight sentences; the what-it-is statement leads and the return format follows. No filler, no restating of the title.

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?

For a query tool with four fully documented parameters and no output schema, the description supplies the missing piece — what a caller gets back (summarised, cited insights). It leaves routing against sibling specialists unspecified, which is the only real gap.

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 description coverage is 100%, so the schema fully documents email, query, top_k and subscribe, including the free-tier and confirmation-link semantics. The description contributes no additional parameter meaning, so the baseline 3 applies.

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?

Names a specific resource (the Ergora Creator Economy specialist) and scopes it with concrete subtopics — audience growth, monetisation, personal brand — which routes it apart from siblings like ergora_marketing or ergora_content. It also states the output form (summarised, cited insights). It stops short of explicitly contrasting with the nearest sibling, so it is clear but not sibling-differentiating.

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?

Usage is only implied by the domain scope; the description never says when to pick this specialist over the 18 sibling specialists, nor any anti-patterns. An agent must infer routing from the topic keywords alone.

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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