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This connector has been deprecated

This connector has been replaced by https://glama.ai/mcp/connectors/io.favcrm/favcrm/admin

create_resource

Create a bookable resource (room, equipment, vehicle). Used by services that have requiresResource=true.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesResource name (e.g. "Treatment Room A")
typeYesFree-form type label, e.g. "room", "equipment"
statusNoDefault active
capacityNoHow many concurrent bookings (default 1)
descriptionNoDescription

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesTool result payload — shape varies per tool, see the tool description
summaryYesOne-line human-readable summary of the action
renderTypeYesUI rendering hint for the result

TDQS

A4/5.0
Behavior3/5

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

Annotations already indicate this is a write operation (readOnlyHint=false) and not destructive. The description confirms 'Create' but adds no further behavioral context (e.g., idempotency, side effects). With annotations present, the bar is lower, but more detail could be beneficial.

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 extremely concise: two sentences with no wasted words. It front-loads the core purpose and then adds relevant usage context.

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 has 5 parameters (2 required) and an output schema, the description is nearly complete. It mentions the key usage context (requiresResource services). It could optionally mention linking after creation, but not required.

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?

The input schema has 100% coverage with descriptions for all parameters. The description adds no parameter-specific details beyond the schema, so a baseline score of 3 is appropriate.

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's purpose: 'Create a bookable resource (room, equipment, vehicle).' It provides specific verb (create) and resource type with examples, distinguishing it from sibling tools like 'create_service' or 'update_resource'.

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 says 'Used by services that have requiresResource=true,' indicating when to use this tool. While it doesn't explicitly state when not to use it or list alternatives, the context is clear and sufficient for an AI agent to decide.

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

A3.6/5.0
Disambiguation5/5

Each tool targets a distinct resource and action, with clear descriptions that minimize ambiguity. Even related tools like create_post vs create_post_type are well-separated by their targets.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern (e.g., create_account, list_services, update_post), with no mixing of naming conventions. The pattern is predictable throughout the set.

Tool Count1/5

190 tools is excessively large for any server, far exceeding the typical 3-15 tool range. The sheer volume overwhelms agents and suggests poor scoping, even for a comprehensive CRM platform.

Completeness4/5

The tool set covers CRUD operations across many domains (CRM, bookings, marketing, CMS, etc.), but notable gaps exist (e.g., no delete_account, delete_contact, update_booking). These are minor given the vast surface.

Resources