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Ergora Specialists

by io.github.ergoracloud
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Ergora Sales Specialist

ergora_sales
Read-onlyIdempotent

Ask the Ergora Sales specialist (prospecting, outreach, pipeline, closing, sales ops). 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 declare readOnly, idempotent, openWorld and non-destructive, so safety is covered. The description usefully adds the return character ('summarised, cited insights') and the sourcing ('curated knowledge base of practitioners, books and research'), but omits notable behaviors documented only in the schema, such as the anonymous vs email-tier query quota and the subscribe confirmation email.

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 sentences, zero filler: the purpose and scope come first, the return behavior second. Nothing repeats the tool title or the structured fields verbatim.

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 simple read-only research tool with no output schema and full schema coverage, the description covers what it is, what it covers, and roughly what comes back. It could say more about result shape or the free-tier/quota behavior, but nothing essential for correct invocation is missing.

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 baseline is 3. The description adds no parameter-level meaning beyond the schema — it never mentions the email tier unlock, top_k range, or the subscribe opt-in, all of which are fully documented in the schema itself.

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 names a concrete verb and resource ('Ask the Ergora Sales specialist') and enumerates the covered domain (prospecting, outreach, pipeline, closing, sales ops), which separates it from ergora_marketing, ergora_ads and the other domain siblings. It stops short of explicitly saying how it relates to the general-purpose ergora_ask, so it is clear but not perfectly differentiated.

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 topic list; there is no statement of when to pick this over ergora_ask or over adjacent siblings such as ergora_marketing, and no exclusions or prerequisites. An agent can infer 'use for sales questions' but gets no routing rules among the 18 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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