Skip to main content
Glama

list_schemas

List schemas from Selise Blocks GraphQL API.

Args: project_key: Project key (tenant ID). Uses global tenant_id if not provided keyword: Search keyword for filtering schemas page_size: Number of items per page (default: 100) page_number: Page number for pagination (default: 1) sort_descending: Sort in descending order (default: True) sort_by: Field to sort by (default: "CreatedDate")

Returns: JSON string with schemas listing result

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordNo
sort_byNoCreatedDate
page_sizeNo
page_numberNo
project_keyNo
sort_descendingNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A4.2/5.0
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 return type ('JSON string with schemas listing result') and explains the pagination-related parameters. It does not explicitly state it is read-only, but 'List' implies a safe query. Missing explicit notes on concurrency or edge cases, but acceptable for a listing 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 with a clear one-line summary, an Args list, and a Returns note. It is slightly longer than necessary but every sentence provides useful information, and there is no redundancy.

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's simplicity and that an output schema exists (so return values need not be detailed), the description covers the key aspects: purpose, all parameters, and expected output. It does not mention authentication or rate limits, but for a list operation these are not critical; the description is complete enough.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description fully compensates by explaining every parameter in the Args section, including project_key ('Project key (tenant ID)'), keyword, pagination settings, and sort options. This adds significant meaning beyond the bare input 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 starts with 'List schemas from Selise Blocks GraphQL API', which uses a specific verb ('List') and resource ('schemas') and clearly identifies the source. This distinguishes it from sibling tools like create_schema, get_schema, and update_schema_fields.

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?

The description implies usage (listing schemas) but does not explicitly state when to use this tool versus alternatives, such as using get_schema for a single schema. There are no exclusion criteria or alternative tool mentions, so guidance is only implied.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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.

Resources