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Coordinalo — Service Business Operations

by com.coordinalo

settings_update

Update organization settings. Partial update — only provided keys are changed. Pass a settings object with key-value pairs (e.g. {"policies.noShowMaxStrikes": 3, "finances.clientPaymentTiming": "BEFORE"}). ALL values are validated before ANY is written: if one key fails, nothing changes — so related keys can be sent together and either all land or none do. That matters for settings with invariants between them (the cancellation tiers, where the partial-charge window must sit closer to the appointment than the no-charge one) and for the SII tax profile, whose legally required fields must arrive in a single call the first time. Returns the full updated settings for the affected chapters. See settings_get for available keys, valid values and dependencies.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
apiKeyNo
orgSlugYes
settingsYes

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description fully discloses partial update, atomic validation, and return value. It warns about invariants and legal requirements. However, it does not mention authentication needs or rate limits, which would be helpful for a mutation tool.

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 well-structured, front-loading the main action and then providing important details. It is slightly long but every sentence adds value. Could be tightened by removing redundant phrases, but overall efficient.

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 no output schema, the description explains the return value. It covers core functionality, atomicity, and invariants. However, it does not explain the 'orgSlug' and 'apiKey' parameters, which are required. The reference to settings_get partially compensates, but not fully.

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 coverage is 0%, so the description must compensate. It explains the 'settings' parameter with an example and behavior, but it does not describe 'orgSlug' or 'apiKey' at all. The 'apiKey' parameter is not even mentioned, leaving a gap for the agent.

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 updates organization settings, with a specific verb ('update') and resource ('organization settings'). It distinguishes from sibling tools like settings_get by mentioning partial update and referencing settings_get for key details.

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 explains partial update behavior, atomicity of validation, and gives concrete examples of when this matters (cancellation tiers, SII tax profile). References settings_get for further guidance, helping the agent decide when to use this tool versus alternatives.

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.

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