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get_projects

Get projects from Selise Blocks API and extract application domains.

Args: tenant_group_id: Tenant Group ID to filter projects (optional) page: Page number for pagination (default: 0) page_size: Number of items per page (default: 100)

Returns: JSON string with projects data and extracted application domains

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo
page_sizeNo
tenant_group_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A4.2/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral transparency. It states that the tool returns a JSON string and extracts application domains, implying a read-only operation, but it does not explicitly disclose side effects, error behavior, or additional constraints. This is adequate for a simple getter but lacks depth.

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 concise and well-structured: a single-sentence purpose followed by a clear Args list and Returns line. Every sentence contributes value, and there is no redundant or fluff 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 tool is a simple read-only list operation, and the description covers its purpose, parameters, and return type. Since an output schema exists (as indicated by context), the description need not detail the return structure. It could mention that the operation is read-only, but the verb 'Get' strongly implies this, so it is reasonably complete.

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 schema has 0% description coverage, so the description must compensate. It does so effectively by explaining each parameter: tenant_group_id filters, page is for pagination, and page_size sets the page size. It also notes optionality and defaults, adding meaning beyond the bare schema.

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 function: 'Get projects from Selise Blocks API and extract application domains.' This specifies a verb (Get), a resource (projects), and a distinct outcome (extract application domains), which distinguishes it from sibling tools like get_schema or get_resource_groups.

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 context by explaining that tenant_group_id filters projects and that page/page_size control pagination. It does not explicitly name alternatives or exclusion criteria, but the purpose sentence makes it obvious when this tool is appropriate (when needing project data).

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

A3.5/5.0
Disambiguation4/5

The tools are organized into clear domains (auth, roles, schemas, translations, projects), and within each domain, tools have distinct purposes (e.g., get_schema vs list_schemas, save_captcha_config vs update_captcha_status). A few pairs like get_auth_status and get_authentication_config could cause minor confusion, but their descriptions clarify the difference.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case, using predictable verbs like get, list, create, update, set, enable, and configure. Even longer names like save_module_keys_with_translations adhere to the same convention, with no mixed casing or arbitrary styles.

Tool Count2/5

With 36 tools, the server exceeds the typical well-scoped range for MCP servers. While the broad platform domain justifies some breadth, the sheer volume can overwhelm agents and suggests the toolset could be consolidated or split into smaller, focused servers.

Completeness3/5

The toolset provides decent coverage for creation, listing, and some updates across entities like permissions, roles, schemas, and translations. However, there are notable gaps: no delete operations for most resources, no role update, and no project update/delete, which leaves lifecycle management incomplete.

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