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Coordinalo — Service Business Operations

delivery_confirmations_list

List the delivery-confirmation ledger for an organization's sessions. Each row reflects the DeliveryProof overlay: whether the provider confirmed delivery, whether the client confirmed, and whether the system auto-confirmed after the verification window (silence). Filter by state — awaiting_client (provider confirmed, client has not, not yet auto-confirmed), confirmed (client confirmed or auto-confirmed), or provider_pending (proof exists but the provider has not confirmed delivery) — or look one up by sessionId. Privacy: returns confirmation flags/timestamps and a hasEvidence boolean only, never the evidence summary content.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo
limitNo
stateNo
apiKeyNo
orgSlugYes
sessionIdNo

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses the privacy behavior (returns only flags/timestamps and hasEvidence, never evidence summary content) and explains the auto-confirmation behavior. However, it omits pagination, error handling, and authentication requirements.

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

Conciseness4/5

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

The description is a single, information-dense sentence that front-loads the purpose and includes state definitions and privacy note. It is efficient but somewhat long; a more concise structure would improve readability without losing content.

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?

The description covers purpose, state semantics, and privacy, which is strong for a tool with no output schema or annotations. However, it lacks details on pagination behavior and authentication, which are relevant for a list endpoint.

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 0%, so the description must compensate. It adds meaning for 'state' (defines each enum value) and 'sessionId' (lookup), but does not explain page, limit, apiKey, or orgSlug beyond their generic role. This partial coverage is insufficient for a 0% schema coverage.

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 clearly states the tool lists the delivery-confirmation ledger for an organization's sessions, with a specific resource ('DeliveryProof overlay') and verb ('List'). It distinguishes itself from sibling confirmations tools by detailing the three-state model and session lookup.

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 description provides clear usage context: filter by state or look up by sessionId. It does not explicitly name alternatives or when not to use it, but the guidance is unambiguous for the intended scenarios.

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.