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Nextesy MCP

list_booking_templates

Fixed JSON GET /api/v1/accounting/booking-templates. Explicit company required. Flat query fields; see describe_nextesy_operation for filters.

Input Schema

NameRequiredDescriptionDefault
queryNo
company_nameYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral burden. It discloses that this is a GET operation (implying read-only), that company scoping is explicit, and that query fields are flat, but it omits pagination, auth requirements, error behavior, and other operational traits.

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 three short, front-loaded sentences with little waste. The phrasing 'Fixed JSON GET /api/v1/...' is somewhat jargon-heavy and cryptic compared with plain language, but it remains compact.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the low parameter complexity and the presence of an output schema, the description covers the endpoint, required company, and filter documentation pointer. It still leaves gaps around pagination behavior, selection versus get_booking_template, and what booking templates conceptually are.

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 does add meaning by saying company is explicitly required, that query fields are flat, and that filter details are documented in describe_nextesy_operation, but it still does not explain the expected company_name format or enumerate query semantics.

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 identifies the resource via the endpoint path (booking-templates) and the HTTP method GET, so an agent can infer it retrieves a list of booking templates. However, it does not use a clear natural-language verb like 'list' and does not explicitly distinguish itself from the sibling get_booking_template.

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?

It states that an explicit company is required and points to describe_nextesy_operation for filters, which is useful prerequisite guidance. It does not say when to use this list tool versus get_booking_template or other related listing tools, so usage is only implied.

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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