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Coordinalo — Service Business Operations

comms_create_campaign

Create a new email campaign with HTML body to send to a segmented audience. Supports variable substitution: {nombre}, {apellido}, {nombre_completo}, {email}, {telefono}, {organizacion}. Use audienceType "predefined" with audienceId "active"/"inactive"/"new"/"withPhone"/"withoutPhone", or "adhoc" with custom filters. On send, links in the body are auto-tagged with UTMs (utm_campaign = stable slug from campaign name) and a legal footer with unsubscribe link is appended. Returns campaign ID and recipient count. Campaign starts as draft — use comms_send_campaign to execute. Requires confirm: true.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
typeNoemail
apiKeyNo
confirmYes
orgSlugYes
emailBodyYes
audienceIdNo
adHocFiltersNo
audienceTypeYes
emailSubjectNo

TDQS

A4.8/5.0
Behavior5/5

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

With no annotations provided, the description carries full responsibility and does an excellent job: it discloses variable substitution support, UTM auto-tagging on send, automatic legal footer with unsubscribe link, return values (campaign ID and recipient count), draft status, and the requirement of confirm: true. These are meaningful behavioral details beyond a simple 'create'.

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 dense but well-structured: purpose, variable substitution, audience selection, send-time side effects, output, workflow, and confirmation requirement. Each sentence adds valuable information; no fluff or redundancy.

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?

Given the tool's complexity (10 params, nested adHocFilters, no annotations/output schema), the description covers a lot: audience types, UTM behavior, return values, and the draft workflow. Gaps remain for orgSlug and emailSubject, and the type parameter's interaction with the 'email campaign' description is not addressed, so it's not fully complete but is very usable.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds substantial meaning beyond the bare schema: it explains audienceType/audienceId combinations, emailBody as HTML, the confirm flag, and name's role in generating the UTM slug. However, it omits orgSlug (a required param), emailSubject, type, and apiKey. With schema description coverage at 0%, the description partially compensates but leaves some parameters unexplained.

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 opens with a clear action and resource: 'Create a new email campaign with HTML body to send to a segmented audience.' It also distinguishes itself from the sibling comms_send_campaign by noting the campaign starts as a draft, making the purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly instructs to use comms_send_campaign after creation ('Campaign starts as draft — use comms_send_campaign to execute') and provides detailed audience selection instructions (predefined vs adhoc, specific audienceId values). This gives clear when-to-use guidance and names the alternative.

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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TDQS

B3.3/5.0
Disambiguation2/5

Multiple parallel booking creation flows (booking_create, scheduling_book, public_booking_create) and session state transition tools (booking_update_status, lifecycle_transition) create ambiguity. While descriptions are detailed, an agent could easily select the wrong tool for a given task, especially with 111 tools to choose from.

Naming Consistency4/5

Most tools follow a consistent domain_action pattern (e.g., client_create, service_update, comms_list_campaigns). Minor deviations include Spanish/English mixing (cierre_*, report_deuda_real) and a few noun-only names like org_summary, but the overall structure is predictable.

Tool Count1/5

With 111 tools, the server is massively over-scoped for an MCP surface. Even for a broad service business domain, this exceeds reasonable limits and will overwhelm agents, making tool selection slower and more error-prone.

Completeness4/5

The tool surface is extremely thorough, covering org setup, services, providers, booking (internal/public/spec), finance, payroll, closing, disputes, clinical notes, treatment plans, and reporting. Gaps are rare and often intentional (e.g., no deliver via MCP, read-only treatment plans), so agents can complete most workflows end-to-end.